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106
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ICDM
2010
IEEE
134views Data Mining» more  ICDM 2010»
14 years 11 months ago
Consequences of Variability in Classifier Performance Estimates
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla
153
Voted
ACCV
2007
Springer
15 years 5 months ago
A Cascade of Feed-Forward Classifiers for Fast Pedestrian Detection
We develop a method that can detect humans in a single image based on a new cascaded structure. In our approach, both the rectangle features and 1-D edge-orientation features are e...
Yu-Ting Chen, Chu-Song Chen
111
Voted
ICAC
2005
IEEE
15 years 7 months ago
Multi-resolution Abnormal Trace Detection Using Varied-length N-grams and Automata
Detection and diagnosis of faults in a large-scale distributed system is a formidable task. Interest in monitoring and using traces of user requests for fault detection has been o...
Guofei Jiang, Haifeng Chen, Cristian Ungureanu, Ke...
160
Voted
NABIC
2010
14 years 8 months ago
Evolutionary design of edge detector using rule-changing Cellular automata
A new design method for Cellular automata (CA) rules are described. We have already proposed a method for designing the transition rules of two-dimensional 256-state CA for graysca...
Shohei Sato, Hitoshi Kanoh
127
Voted
ICPR
2006
IEEE
16 years 2 months ago
High Accuracy Handwritten Chinese Character Recognition Using Quadratic Classifiers with Discriminative Feature Extraction
We aim to improve the accuracy of handwritten Chinese character recognition using two advanced techniques: discriminative feature extraction (DFE) and discriminative learning quad...
Cheng-Lin Liu