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» Complex discriminant features for object classification
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ICIP
2008
IEEE
14 years 9 months ago
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery
A richer set of land-cover classes are observable in satellite imagery than ever before due to the increased sub-meter resolution. Individual objects, such as cars and houses, are...
Yi Yang, Shawn Newsam
CVPR
2005
IEEE
14 years 9 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
13 years 11 months ago
Robust Point-Based Feature Fingerprint Segmentation Algorithm
Abstract. A critical step in automatic fingerprint recognition is the accurate segmentation of fingerprint images. The objective of fingerprint segmentation is to decide which part...
Chaohong Wu, Sergey Tulyakov, Venu Govindaraju
PVLDB
2008
82views more  PVLDB 2008»
13 years 7 months ago
TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering
Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-worl...
Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hector Gonzal...
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Enhancing curvature scale space features for robust shape classification
The curvature scale space (CSS) technique, which is also part of the MPEG-7 standard is a robust method to describe complex shapes.The central idea is to analyze the curvature of ...
Stephan Kopf, Thomas Haenselmann, Wolfgang Effelsb...