243 search results - page 23 / 49 » Learning Boosted Asymmetric Classifiers for Object Detection |
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
We present in this paper a supervised approach for automatic detection of micro-calcifications. The system is based on learning the different morphology of the micro-calcification...
IWCM
2004
Springer
14 years 27 days ago
2004
Springer
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Viola and Jones (VJ) cascade classification methods have proven to be very successful in detecting objects belonging to a single class -- e.g., faces. This paper addresses the mor...
ICCV
2009
IEEE
15 years 15 days ago
2009
IEEE
A common design of an object recognition system has
two steps, a detection step followed by a foreground withinclass
classification step. For example, consider face detection
by...