Scene Classification Using a Hybrid Generative/Discriminative Approach

We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail, we are given a set of labeled images of scenes (for example, coast, forest, city, river, etc.), and our objective is to classify a new image into one of these categories. Our approach consists of first discovering latent ";topics"; using probabilistic Latent Semantic Analysis (pLSA), a generative model from the statistical text literature here applied to a bag of visual words representation for each image, and subsequently, training a multiway classifier on the topic distribution vector for each image. We compare this approach to that of representing each image by a bag of visual words vector directly and training a multiway classifier on these vectors. To this end, we introduce a novel vocabulary using dense color SIFT descriptors and then investigate the classification performance under changes in the size of the visual vocabulary, the number of latent topics learned, and the type of discriminative classifier used (k-nearest neighbor or SVM). We achieve superior classification performance to recent publications that have used a bag of visual word representation, in all cases, using the authors' own data sets and testing protocols. We also investigate the gain in adding spatial information. We show applications to image retrieval with relevance feedback and to scene classification in videos

The Construction of grammar concepts at secondary school

In this study we make a general research question [1] and two specific ones [2] i [3]: [1] How can we establish a new model for teaching and learning grammar? [2] How metalinguistic knowledge is built within this model? [3] How can we elaborate an analysis model for exploring grammar knowledge?

Mesoclitic Romance futures and conditionals vs participle preposing

(INFINITIVE + CLITIC + AUX) is an evidential configuration in Old Spanish and Old Catalan, whereas (PARTICIPLE + CLITIC + AUX) is an instance of weak or unmarked focus fronting. The evidentiality of mesoclitic structures can be put forward on the bases of three main arguments: a) mesoclisis is not compulsory (i.e., whenever you have a clitic, you can either have mesoclisis or proclisis/enclisis); b) mesoclitic futures and conditionals are attested in interrogative sentences (with wh- elements); and c) they are not found in derived adverbial clauses (which is what you expect if they have an evidential value, since they bring about intervention effects corresponding to the derivational account of conditional and temporal sentences, for example - see Haegeman 2007 and ff.), and are related to high modal expressions (thus interfering with MoodPIrrealis)