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Adapted Vocabularies for Generic Visual Categorization
TLDR
A novel and practical approach to GVC is proposed, which describes the content of all the considered classes of images, and class vocabularies obtained through the adaptation of the universal vocabulary using class-specific data.
Nonparametric discriminant analysis and nearest neighbor classification
TLDR
It is observed that when the authors seek a linear representation adapted to improve NN performance, what they obtain not surprisingly is quite close to NDA.
Tone-mapping high dynamic range images by novel histogram adjustment
TLDR
A global histogram adjustment based tone mapping operator is presented, which well reproduces global contrast for high dynamic range images and adaptive contrast adjustment is carried out using this operator in the local regions to reproduce local contrast and ensure better quality.
Choose the damping, choose the ranking?
TLDR
The novel notions of strong rank and weak rank of a node provide a measure of the fuzziness of the rank of that node, of the objective orderability of a graph's nodes, and of the quality of results returned by different ranking algorithms based on the random surfer model.
A weighted non-negative matrix factorization for local representations
TLDR
An improvement of the classical Non-negative Matrix Factorization (NMF) approach for dealing with local representations of image objects by incorporating prior knowledge in the form of a weight matrix extracted from the training data.
Using an ICA representation of high dimensional data for object recognition and classification
TLDR
A Bayesian classification scheme to the problem of recognition through probabilistic modeling of high dimensional data is applied and how this approach outperforms other techniques commonly used in the context of appearance-based recognition is shown.
BBVA's Data Monetization Journey
TLDR
Based on BBVA’s efforts, a rich data monetization portfolio is developed by making preexisting data monetizing activities more effective, by pursuing new data monetized approaches, and by investing in a larger number ofData monetization projects.
Bayesian Classification of Cork Stoppers Using Class-Conditional Independent Component Analysis
TLDR
A class-conditional independent component analysis representation of the data is proposed that allows an accurate estimation of theData probability density function by factorizing it.
Inferring the demographic history of the Adriatic Flexopecten complex.
TLDR
The aim of this study is to solve the controversy regarding the taxonomical status of the Flexopecten group, which includes two putative sister species that co-occur in the Adriatic Sea and are clearly distinguishable on the basis of morphometric characters.
Crossing textual and visual content in different application scenarios
TLDR
Two new approaches for hybrid text-image information processing that can be straightforwardly generalized to the more general multimodal scenario are proposed, falling in the trans-media pseudo-relevance feedback category.
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