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» An Approach to Classify Semi-structured Objects
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ICCV
2005
IEEE
14 years 9 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
13 years 5 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh
ICIP
2009
IEEE
13 years 5 months ago
Rapid stereo-vision enhanced face detection
This paper presents a real-time face detection algorithm. It improves state-of-the-art 2D object detection techniques by additionally evaluating a disparity map, which is estimate...
Sergey Kosov, Kristina Scherbaum, Kamil Faber, Tho...
ICCV
2009
IEEE
15 years 24 days ago
Is a detector only good for detection?
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...
Quan Yuan and Stan Sclaroff
ICPR
2006
IEEE
14 years 9 months ago
Invariant Features for 3D-Data based on Group Integration using Directional Information and Spherical Harmonic Expansion
Due to the increasing amount of 3D data for various applications there is a growing need for classification and search in such databases. As the representation of 3D objects is no...
Marco Reisert, Hans Burkhardt