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» Hidden Maximum Entropy Approach for Visual Concept Modeling
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 6 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
ACL
2009
13 years 3 months ago
Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?
In this paper, we analyze the impact of different automatic annotation methods on the performance of supervised approaches to the complex question answering problem (defined in th...
Yllias Chali, Sadid A. Hasan, Shafiq R. Joty
ICMCS
2006
IEEE
128views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Efficient Recognition of Authentic Dynamic Facial Expressions on the Feedtum Database
In order to allow for fast recognition of a user’s affective state we discuss innovative holistic and self organizing approaches for efficient facial expression analysis. The f...
Frank Wallhoff, Björn Schuller, Michael Hawel...
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
14 years 13 days ago
Expansion segmentation for visual collision detection and estimation
Abstract— Collision detection and estimation from a monocular visual sensor is an important enabling technology for safe navigation of small or micro air vehicles in near earth ...
Jeffrey Byrne, Camillo J. Taylor
SIGKDD
2010
125views more  SIGKDD 2010»
13 years 15 days ago
A framework for mining interesting pattern sets
This paper suggests a framework for mining subjectively interesting pattern sets that is based on two components: (1) the encoding of prior information in a model for the data min...
Tijl De Bie, Kleanthis-Nikolaos Kontonasios, Eirin...