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» Computationally Efficient Face Detection
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NIPS
2000
15 years 7 months ago
Feature Selection for SVMs
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
ICCV
2003
IEEE
16 years 7 months ago
Boosting Chain Learning for Object Detection
A general classification framework, called boosting chain, is proposed for learning boosting cascade. In this framework, a "chain" structure is introduced to integrate h...
Rong Xiao, Long Zhu, HongJiang Zhang
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
15 years 10 months ago
Viewpoint-Invariant Learning and Detection of Human Heads
We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...
Markus Weber, Wolfgang Einhäuser, Max Welling...
ACSAC
2004
IEEE
15 years 9 months ago
Nabs: A System for Detecting Resource Abuses via Characterization of Flow Content Type
One of the growing problems faced by network administrators is the abuse of computing resources by authorized and unauthorized personnel. The nature of abuse may vary from using u...
Kulesh Shanmugasundaram, Mehdi Kharrazi, Nasir D. ...
184
Voted
CGF
2004
158views more  CGF 2004»
15 years 5 months ago
Combined Correlated and Importance Sampling in Direct Light Source Computation and Environment Mapping
This paper presents a general variance reduction method that is a quasi-optimal combination of correlated and importance sampling. The weights of the combination are selected auto...
László Szécsi, Mateu Sbert, L...