Discriminative and Compact Dictionary Design for Hyperspectral Image Classification using Learning VQ Framework Report Title Sparse representation provides an efficient description for high-dimensional Hyperspectral Imagery (HSI) and also encodes discriminative information useful for classification. However, due to the large size of typical HSI images, the naive way to construct a dictionary wi...

Cross-language information retrieval (CLIR) is the process of providing queries in one language and returning documents relevant to that query which is written in a different language. A popular approach to CLIR is to translate the query into the language of the documents being retrieved. One of the simplest and most effective methods for query translation is to perform dictionary look up based...

We analyze the size of the dictionary constructed from online kernel sparsification, using a novel formula that expresses the expected determinant of the kernel Gram matrix in terms of the eigenvalues of the covariance operator. Using this formula, we are able to connect the cardinality of the dictionary with the eigen-decay of the covariance operator. In particular, we show that under certain ...

We present a topdown design of a parallel PRAM dictionary using skip lists. More precisely, we give detailed algorithms to search for, insert or delete k elements in a skip list of n elements in parallel. The algorithms are iterative and easy to implement on real machines. We discuss some implementation issues and give concrete examples in C*. The algorithms run on an EREW PRAM in expected time...

For object classification in video surveillance, features extracted from images are compared with a visual dictionary. The best-matching features are learned by the classifier to determine the object class. In this paper, the visual dictionary concept is extended with Interest Point Operators (IPOs). In a first experiment, the influence of using IPOs on the visual dictionary creation process is...

In this work, we propose a system for automatic music transcription which adapts dictionary templates so that they closely match the spectral shape of the instrument sources present in each recording. Current dictionary-based automatic transcription systems keep the input dictionary fixed, thus the spectral shape of the dictionary components might not match the shape of the test instrument sour...

This paper presents a disambiguation method in which word senses are determined using a dictionary. We use a semantic proximity measure between words in the dictionary, taking into account the whole topology of the dictionary, seen as a graph on its entries. We have tested the method on the problem of disambiguation of the dictionary entries themselves, with promising results considering we do ...

In this article we present an exploratory approach to enrich a WordNet-like lexical ontology with the synonyms present in a standard monolingual Portuguese dictionary. The dictionary was converted from PDF into XML and senses were automatically identified and annotated. This allowed us to extract them, independently of definitions, and to create sets of synonyms (synsets). These synsets were th...