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» MuFeSaC: Learning When to Use Which Feature Detector
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CVPR
2004
IEEE
14 years 11 months ago
Joint Feature-Basis Subset Selection
We treat feature selection and basis selection in a unified framework by introducing the masking matrix. If one considers feature selection as finding a binary mask vector that de...
Shai Avidan
ICCV
2005
IEEE
14 years 2 months ago
Fusing Points and Lines for High Performance Tracking
This paper addresses the problem of real-time 3D modelbased tracking by combining point-based and edge-based tracking systems. We present a careful analysis of the properties of t...
Edward Rosten, Tom Drummond
FPL
2009
Springer
85views Hardware» more  FPL 2009»
14 years 1 months ago
Generating high-performance custom floating-point pipelines
Custom operators, working at custom precisions, are a key ingredient to fully exploit the FPGA flexibility advantage for high-performance computing. Unfortunately, such operators...
Florent de Dinechin, Cristian Klein, Bogdan Pasca
CLEF
2010
Springer
13 years 10 months ago
A Multi Cue Discriminative Approach to Semantic Place Classification
This paper describes the participation of Idiap-MULTI to the Robot Vision Task at imageCLEF 2010. Our approach was based on a discriminative classification algorithm using multiple...
Marco Fornoni, Jesus Martínez-Gómez,...
MLMI
2007
Springer
14 years 3 months ago
Posterior-Based Features and Distances in Template Matching for Speech Recognition
The use of large speech corpora in example-based approaches for speech recognition is mainly focused on increasing the number of examples. This strategy presents some difficulties ...
Guillermo Aradilla, Hervé Bourlard