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» MuFeSaC: Learning When to Use Which Feature Detector
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CVPR
2004
IEEE
16 years 7 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
139
Voted
ICCV
2005
IEEE
15 years 11 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»
15 years 10 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
15 years 6 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
15 years 11 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