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EXPERT
1998
83views more  EXPERT 1998»
13 years 9 months ago
Data-Driven Constructive Induction
Constructive induction divides the problem of learning an inductive hypothesis into two intertwined searches: one—for the “best” representation space, and two—for the “be...
Eric Bloedorn, Ryszard S. Michalski
MVA
2007
140views Computer Vision» more  MVA 2007»
13 years 11 months ago
A Review of Tracking Methods under Occlusions
Object tracking in computer vision refers to the task of tracking individual moving objects accurately from one frame to another in an image sequence. Several tracking methods hav...
Zui Zhang, Massimo Piccardi
ISVC
2009
Springer
14 years 4 months ago
Biometric Recognition: When Is Evidence Fusion Advantageous?
Abstract. Having assessed the performance gains due to evidence fusion, previous works reported contradictory conclusions. For some, a consistent improvement is achieved, while oth...
Hugo Proença
CAMP
2005
IEEE
14 years 3 months ago
Automatic Parameter Regulation for a Tracking System with an Auto-Critical Function
Abstract— In this article we propose an architecture of a tracking system that can judge its own performance by an auto-critical function. Performance drops can be detected which...
Daniela Hall
SIGIR
2008
ACM
13 years 9 months ago
Combining document- and paragraph-based entity ranking
We study entity ranking on the INEX entity track and propose a simple graph-based ranking approach that enables to combine scores on document and paragraph level. The combined app...
Henning Rode, Pavel Serdyukov, Djoerd Hiemstra