Gadamer, History and the Classics: Fugard, Marowitz, Berkoff and Harrison Rewrite the Theatre

Forsyth, A. (2002). Gadamer, History and the Classics: Fugard, Marowitz, Berkoff and Harrison Rewrite the Theatre. Studies in Literary Criticism and Theory: Vol. 15. New York: Peter Lang. RAE2008

A Cult Film by Proxy: Space is the Place and the Sun Ra Mythos

Sexton, J. (2006). A Cult Film by Proxy: Space is the Place and the Sun Ra Mythos. New Review of Film and Television Studies. 4(3), pp.197-215. RAE2008

The literary tradition to c. 1560

Williams, Gruffydd. 'The literary tradition to c. 1560', In: History of Merioneth, Vol. II: The Middle Ages (University of Wales Press, 2001), pp.507-628 RAE2008

(O)znaki śmierci w polskiej poezji po roku 1956

Wydział Filologii Polskiej i Klasycznej: Instytut Filologii Polskiej

Buland al-Ḥaydarī – poeta pokolenia prekursorów współczesnej poezji arabskiej. Interpretacja twórczości

Głównym celem dysertacji jest interpretacja twórczości Bulanda al-Ḥaydarīego (iracki poeta kurdyjskiego pochodzenia (1926-1996)). Utwory Al-Ḥaydarīego zawierają w sobie charakterystyczne cechy współczesnego wiersza arabskiego. Opisują ponadto najważniejsze historyczne, społeczne i osobiste doświadczenia literackiego pokolenia tego poety, jak również innych członków społeczności arabskiej w okresie po II wojnie światowej. Praca doktorska składa się z dwóch części. Pierwszą część poprzedza krótki opis stanu badań nad liryką Al-Ḥaydarīego. W pierwszym jej rozdziale przedstawiono życiorys i biografię literacką poety oraz wyjaśniono pojęcia takie jak: ‘współczesna poezja arabska’, ‘wolna poezja’, ‘poemat prozą’ czy ‘ruch wolnej poezji’. Wspomniano również o głównych nurtach w poezji arabskiej w latach 50. i 60. XX w., jak również ukazano sposób, w jaki modernistyczni poeci postrzegali poezję. Natomiast w drugim rozdziale przedstawiono pokrótce charakterystyczne cechy (stylistyczne, składniowe i melodyczne) współczesnego wiersza arabskiego i zilustrowano je fragmentami utworów Al-Ḥaydarīego. Druga część dysertacji składa się z pięciu rozdziałów. W każdym z nich przedstawiono jeden lub kilka głównych motywów oraz ich różne warianty: w pierwszym rozdziale – motyw miłość, w drugim – motyw istnienia (życie i śmierć), w trzecim – motywy ojczyzny, obczyzny, zaangażowania społecznego twórcy i jego wyobcowania, w czwartym – motyw przestrzeni (np. dom, droga, raj, piekło) oraz w piątym – motyw czasu (przeszłość, teraźniejszość, przyszłość).

„Uksiążkowić świat”, czyli kilka słów o liberaturze

Celem artykułu jest przybliżenie kwestii dotyczących nowego zjawiska w literaturze, choć swymi korzeniami sięgającego czasów bardzo odległych, mianowicie liberatury. Przedstawiam nie tylko podstawowe tezy związane z liberaturą, np. postrzeganie utworu jako integralnej całości, w której następuje stopienie słowa i przestrzeni, ale także swoistą ewolucję form literackich, prowadzącą do narodzin nowego nurtu. Sednem tego procesu jest położenie nacisku na współistnienie formy i treści, obecne już w poezji wizualnej wywodzącej się ze starożytności i średniowiecza, a przybierające na sile w twórczości autorów związanych z XX-wiecznymi ruchami awangardowymi. „Totalne” myślenie o literaturze zyskało najciekawszy wyraz w twórczości autorów liberatów: Zenona Fajfera, Katarzyny Bazarnik i Radosława Nowakowskiego (zarówno praktyków, jak i teoretyków liberatury), których sylwetki oraz dzieła przedstawiam pokrótce w niniejszym artykule.

Polski Hamlet

Chapter is an attempt at reconstruction of the culminating moment of the first stage of the Polish reception of Shakespeare's "Hamlet". It has been entirely devoted to J. Słowacki's "Horsztyński". There is no doubt that "Horsztyński" should be viewed as the fullest and deepest interpretation of Shakespearean elements in the literary output of Juliusz Słowacki. Numerous citations and references to the works of the Elizabethan dramatist reach deeply into the structure of the world and human's life. Thanks to many adductions (citations) to Shakespeare, Słowacki approached the so much important problem for the Romantic period in Polish literature, namely the problem of individual tragedy of existence of the main character of a play and a clash with historical dilemmas of the community. The analysis of the text is aimed at showing all references to Shakespearean masterpiece with a particular emphasis on the hamletism of the charactwe of Szczęsny Kossakowski. The author describes the motif of betrayal, ever-present on different levels of the text structure, which in the most complete way describes the organisation of space between humans and their interaction in "Horsztyński". The author focuses his attention on detailed description and analysis of the recurrent themes frequently repeated in Szczęsny's statements, namely motifs of "man-harp", "man-actor in the theatre of the world", and "man-puppet", harlequin, clown. These motifs prove the sensibility of Szczęsny's to the theatrical aspect of the surrounding reality. The motif of darkness and of a blind man groping his way in the darkness so frequent in Szczęsny's statements can be interpreted as a manifestation of utter lack of hope and the feeling of uselessness of one's existence in the world.

Płynna tożsamość? Identyfikacje Francuzów algierskiego pochodzenia w powieściach autobiograficznych

Wydział Nauk Społecznych

Protein Docking by the Underestimation of Free Energy Funnels in the Space of Encounter Complexes

Similarly to protein folding, the association of two proteins is driven by a free energy funnel, determined by favorable interactions in some neighborhood of the native state. We describe a docking method based on stochastic global minimization of funnel-shaped energy functions in the space of rigid body motions (SE(3)) while accounting for flexibility of the interface side chains. The method, called semi-definite programming-based underestimation (SDU), employs a general quadratic function to underestimate a set of local energy minima and uses the resulting underestimator to bias further sampling. While SDU effectively minimizes functions with funnel-shaped basins, its application to docking in the rotational and translational space SE(3) is not straightforward due to the geometry of that space. We introduce a strategy that uses separate independent variables for side-chain optimization, center-to-center distance of the two proteins, and five angular descriptors of the relative orientations of the molecules. The removal of the center-to-center distance turns out to vastly improve the efficiency of the search, because the five-dimensional space now exhibits a well-behaved energy surface suitable for underestimation. This algorithm explores the free energy surface spanned by encounter complexes that correspond to local free energy minima and shows similarity to the model of macromolecular association that proceeds through a series of collisions. Results for standard protein docking benchmarks establish that in this space the free energy landscape is a funnel in a reasonably broad neighborhood of the native state and that the SDU strategy can generate docking predictions with less than 5 � ligand interface Ca root-mean-square deviation while achieving an approximately 20-fold efficiency gain compared to Monte Carlo methods.

Contour Generator Points for Threshold Selection and a Novel Photo-Consistency Measure for Space Carving

Space carving has emerged as a powerful method for multiview scene reconstruction. Although a wide variety of methods have been proposed, the quality of the reconstruction remains highly-dependent on the photometric consistency measure, and the threshold used to carve away voxels. In this paper, we present a novel photo-consistency measure that is motivated by a multiset variant of the chamfer distance. The new measure is robust to high amounts of within-view color variance and also takes into account the projection angles of back-projected pixels. Another critical issue in space carving is the selection of the photo-consistency threshold used to determine what surface voxels are kept or carved away. In this paper, a reliable threshold selection technique is proposed that examines the photo-consistency values at contour generator points. Contour generators are points that lie on both the surface of the object and the visual hull. To determine the threshold, a percentile ranking of the photo-consistency values of these generator points is used. This improved technique is applicable to a wide variety of photo-consistency measures, including the new measure presented in this paper. Also presented in this paper is a method to choose between photo-consistency measures, and voxel array resolutions prior to carving using receiver operating characteristic (ROC) curves.

Periodic Motion Detection and Estimation via Space-Time Sampling

A novel technique to detect and localize periodic movements in video is presented. The distinctive feature of the technique is that it requires neither feature tracking nor object segmentation. Intensity patterns along linear sample paths in space-time are used in estimation of period of object motion in a given sequence of frames. Sample paths are obtained by connecting (in space-time) sample points from regions of high motion magnitude in the first and last frames. Oscillations in intensity values are induced at time instants when an object intersects the sample path. The locations of peaks in intensity are determined by parameters of both cyclic object motion and orientation of the sample path with respect to object motion. The information about peaks is used in a least squares framework to obtain an initial estimate of these parameters. The estimate is further refined using the full intensity profile. The best estimate for the period of cyclic object motion is obtained by looking for consensus among estimates from many sample paths. The proposed technique is evaluated with synthetic videos where ground-truth is known, and with American Sign Language videos where the goal is to detect periodic hand motions.

Search Space Reduction in QoS Routing

To provide real-time service or engineer constrained-based paths, networks require the underlying routing algorithm to be able to find low-cost paths that satisfy given Quality-of-Service (QoS) constraints. However, the problem of constrained shortest (least-cost) path routing is known to be NP-hard, and some heuristics have been proposed to find a near-optimal solution. However, these heuristics either impose relationships among the link metrics to reduce the complexity of the problem which may limit the general applicability of the heuristic, or are too costly in terms of execution time to be applicable to large networks. In this paper, we focus on solving the delay-constrained minimum-cost path problem, and present a fast algorithm to find a near-optimal solution. This algorithm, called DCCR (for Delay-Cost-Constrained Routing), is a variant of the k-shortest path algorithm. DCCR uses a new adaptive path weight function together with an additional constraint imposed on the path cost, to restrict the search space. Thus, DCCR can return a near-optimal solution in a very short time. Furthermore, we use the method proposed by Blokh and Gutin to further reduce the search space by using a tighter bound on path cost. This makes our algorithm more accurate and even faster. We call this improved algorithm SSR+DCCR (for Search Space Reduction+DCCR). Through extensive simulations, we confirm that SSR+DCCR performs very well compared to the optimal but very expensive solution.

Articulated Pose Estimation in a Learned Smooth Space of Feasible Solutions

A learning based framework is proposed for estimating human body pose from a single image. Given a differentiable function that maps from pose space to image feature space, the goal is to invert the process: estimate the pose given only image features. The inversion is an ill-posed problem as the inverse mapping is a one to many process. Hence multiple solutions exist, and it is desirable to restrict the solution space to a smaller subset of feasible solutions. For example, not all human body poses are feasible due to anthropometric constraints. Since the space of feasible solutions may not admit a closed form description, the proposed framework seeks to exploit machine learning techniques to learn an approximation that is smoothly parameterized over such a space. One such technique is Gaussian Process Latent Variable Modelling. Scaled conjugate gradient is then used find the best matching pose in the space of feasible solutions when given an input image. The formulation allows easy incorporation of various constraints, e.g. temporal consistency and anthropometric constraints. The performance of the proposed approach is evaluated in the task of upper-body pose estimation from silhouettes and compared with the Specialized Mapping Architecture. The estimation accuracy of the Specialized Mapping Architecture is at least one standard deviation worse than the proposed approach in the experiments with synthetic data. In experiments with real video of humans performing gestures, the proposed approach produces qualitatively better estimation results.

Tracking Human Body Pose on a Learned Smooth Space

Particle filtering is a popular method used in systems for tracking human body pose in video. One key difficulty in using particle filtering is caused by the curse of dimensionality: generally a very large number of particles is required to adequately approximate the underlying pose distribution in a high-dimensional state space. Although the number of degrees of freedom in the human body is quite large, in reality, the subset of allowable configurations in state space is generally restricted by human biomechanics, and the trajectories in this allowable subspace tend to be smooth. Therefore, a framework is proposed to learn a low-dimensional representation of the high-dimensional human poses state space. This mapping can be learned using a Gaussian Process Latent Variable Model (GPLVM) framework. One important advantage of the GPLVM framework is that both the mapping to, and mapping from the embedded space are smooth; this facilitates sampling in the low-dimensional space, and samples generated in the low-dimensional embedded space are easily mapped back into the original highdimensional space. Moreover, human body poses that are similar in the original space tend to be mapped close to each other in the embedded space; this property can be exploited when sampling in the embedded space. The proposed framework is tested in tracking 2D human body pose using a Scaled Prismatic Model. Experiments on real life video sequences demonstrate the strength of the approach. In comparison with the Multiple Hypothesis Tracking and the standard Condensation algorithm, the proposed algorithm is able to maintain tracking reliably throughout the long test sequences. It also handles singularity and self occlusion robustly.

Hippocampal Modulation of Recognition, Conditioning, Timing, and Space: Why So Many Functions?

Advanced Research Projects Agency (ONR N00014-92-J-4015); National Science Foundation (IRI-90-24877); Office of Naval Research (N00014-91-J-1309)