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» A Framework for Multiple-Instance Learning
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NIPS
2008
15 years 3 months ago
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie...
127
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NIPS
2008
15 years 3 months ago
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daph...
109
Voted
SERVICES
2008
99views more  SERVICES 2008»
15 years 3 months ago
WS-BioZard: A Wizard for Composing Bioinformatics Web Services
As the amount of biological data continues to increase, how biologists share data and analysis tools efficiently is becoming an important issue. Web service technology is a promis...
Zhiming Wang, John A. Miller, Jessica C. Kissinger...
NAACL
2007
15 years 3 months ago
A Systematic Exploration of the Feature Space for Relation Extraction
Relation extraction is the task of finding semantic relations between entities from text. The state-of-the-art methods for relation extraction are mostly based on statistical lea...
Jing Jiang, ChengXiang Zhai
AAAI
2004
15 years 3 months ago
Self-Organizing Visual Maps
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
Robert Sim, Gregory Dudek