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» Surrogate data: A novel approach to object detection
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CLOR
2006
15 years 1 months ago
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
Ilkay Ulusoy, Christopher M. Bishop
77
Voted
ICIP
2006
IEEE
15 years 11 months ago
Model-Free, Statistical Detection and Tracking of Moving Objects
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
Mark Ross
PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
15 years 3 months ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo
ICCV
2007
IEEE
15 years 11 months ago
Efficient Mining of Frequent and Distinctive Feature Configurations
We present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background....
Till Quack, Vittorio Ferrari, Bastian Leibe, Luc J...
ICCV
1995
IEEE
15 years 1 months ago
Geodesic Active Contours
A novel scheme for the detection of object boundaries is presented. The technique is based on active contours evolving in time according to intrinsic geometric measures of the imag...
Vicent Caselles, Ron Kimmel, Guillermo Sapiro