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» On Combining Dissimilarity Representations
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ICML
2010
IEEE
13 years 10 months ago
A Theoretical Analysis of Feature Pooling in Visual Recognition
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
Y-Lan Boureau, Jean Ponce, Yann LeCun
ICML
2010
IEEE
13 years 10 months ago
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
Mingkui Tan, Li Wang, Ivor W. Tsang
ICML
2010
IEEE
13 years 10 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
ICASSP
2010
IEEE
13 years 9 months ago
Balancing false alarms and hits in Spoken Term Detection
This paper presents methods to improve retrieval of Out-OfVocabulary (OOV) terms in a Spoken Term Detection (STD) system. We demonstrate that automated tagging of OOV regions help...
Carolina Parada, Abhinav Sethy, Bhuvana Ramabhadra...
ICDE
2010
IEEE
208views Database» more  ICDE 2010»
13 years 9 months ago
Duplicate detection in probabilistic data
Abstract— Collected data often contains uncertainties. Probabilistic databases have been proposed to manage uncertain data. To combine data from multiple autonomous probabilistic...
Fabian Panse, Maurice van Keulen, Ander de Keijzer...