Sciweavers

2683 search results - page 375 / 537
» Machine learning problems from optimization perspective
Sort
View
167
Voted
BMCBI
2007
194views more  BMCBI 2007»
15 years 2 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
105
Voted
PAMI
2006
125views more  PAMI 2006»
15 years 2 months ago
The Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing
This paper presents the semantic pathfinder architecture for generic indexing of multimedia archives. The semantic pathfinder extracts semantic concepts from video by exploring dif...
Cees Snoek, Marcel Worring, Jan-Mark Geusebroek, D...
CVPR
2008
IEEE
16 years 4 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
CVPR
2007
IEEE
15 years 9 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
AAAI
2008
15 years 5 months ago
POIROT - Integrated Learning of Web Service Procedures
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...