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CEC
2010
IEEE
14 years 10 months ago
Revisiting Evolutionary Information Filtering
— Adaptive Information Filtering seeks a solution to the problem of information overload through a tailored representation of the user’s interests, called user profile, which ...
Nikolaos Nanas, Stefanos Kodovas, Manolis Vavalis
SIGSOFT
2007
ACM
16 years 7 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
TKDE
2010
148views more  TKDE 2010»
15 years 4 months ago
False Negative Problem of Counting Bloom Filter
—Bloom filter is effective, space-efficient data structure for concisely representing a data set and supporting approximate membership queries. Traditionally, researchers often b...
Deke Guo, Yunhao Liu, Xiang-Yang Li, Panlong Yang
ICCV
2009
IEEE
2030views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Robust Tracking-by-Detection using a Detector Confidence Particle Filter
We propose a novel approach for multi-person trackingby- detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the con...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
ICCV
2009
IEEE
16 years 11 months ago
Shape Guided Contour Grouping with Particle Filters
We propose a novel framework for contour based object detection and recognition, which we formulate as a joint contour fragment grouping and labeling problem. For a given set of...
ChengEn Lu, Longin Jan Latecki, Nagesh Adluru, Hai...