Sciweavers

28 search results - page 1 / 6
» Making Explicit the Hidden Semantics of Hierarchical Classif...
Sort
View
AIIA
2003
Springer
13 years 10 months ago
Making Explicit the Hidden Semantics of Hierarchical Classifications
Bernardo Magnini, Luciano Serafini, Manuela Speran...
BMCBI
2004
208views more  BMCBI 2004»
13 years 4 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
ICIP
2005
IEEE
14 years 6 months ago
Learning hidden semantic cues using support vector clustering
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
Jia-Wen Tung, Chiou-Ting Hsu
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 5 months ago
A data mining approach to modeling relationships among categories in image collection
This paper proposes a data mining approach to modeling relationships among categories in image collection. In our approach, with image feature grouping, a visual dictionary is cre...
Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanz...
CVPR
2005
IEEE
14 years 6 months ago
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important research issue in building a pervasive and smart environ...
Thi V. Duong, Hung Hai Bui, Dinh Q. Phung, Svetha ...