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» Detecting Fractures in Classifier Performance
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TASLP
2008
150views more  TASLP 2008»
14 years 9 months ago
Automatic Prosodic Event Detection Using Acoustic, Lexical, and Syntactic Evidence
With the advent of prosody annotation standards such as tones and break indices (ToBI), speech technologists and linguists alike have been interested in automatically detecting pro...
Sankaranarayanan Ananthakrishnan, Shrikanth S. Nar...
KI
2007
Springer
14 years 9 months ago
Improving the Detection of Unknown Computer Worms Activity Using Active Learning
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint ...
ICASSP
2011
IEEE
14 years 1 months ago
Combining generic and class-specific codebooks for object categorization and detection
Combining advantages of shape and appearance features, we propose a novel model that integrates these two complementary features into a common framework for object categorization ...
Hong Pan, Yaping Zhu, Liang-Zheng Xia, Truong Q. N...
WWW
2009
ACM
15 years 10 months ago
Detecting soft errors by redirection classification
A soft error redirection is a URL redirection to a page that returns the HTTP status code 200 (OK) but has actually no relevant content to the client request. Since such redirecti...
Taehyung Lee, Jinil Kim, Jin Wook Kim, Sung-Ryul K...
PCM
2005
Springer
106views Multimedia» more  PCM 2005»
15 years 3 months ago
Automated Detection of Tumors in Mammograms Using Two Segments for Classification
A spread pattern of a tumor in medical images is an important factor for classification of the tumor. The spread pattern is generally not considered when we use only one segment fo...
Mahmoud R. Hejazi, Yo-Sung Ho