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IJCAI
2007
13 years 5 months ago
Inferring Complex Agent Motions from Partial Trajectory Observations
Finnegan Southey, Wesley Loh, Dana F. Wilkinson
IJCAI
2007
13 years 5 months ago
Planning under Risk and Knightian Uncertainty
Felipe W. Trevizan, Fabio Gagliardi Cozman, Lelian...
IJCAI
2007
13 years 5 months ago
Emotions as Durative Dynamic State for Action Selection
Human intelligence requires decades of full-time training before it can be reliably utilised in modern economies. In contrast, AI agents must be made reliable but interesting in r...
Emmanuel Tanguy, Philip J. Willis, Joanna Bryson
IJCAI
2007
13 years 5 months ago
Occam's Razor Just Got Sharper
Occam’s razor is the principle that, given two hypotheses consistent with the observed data, the simpler one should be preferred. Many machine learning algorithms follow this pr...
Saher Esmeir, Shaul Markovitch
IJCAI
2007
13 years 5 months ago
On the Automatic Scoring of Handwritten Essays
Automating the task of scoring handwritten student essays is a challenging problem of AI. The goal is to assign scores which are comparable to those of human scorers even though b...
Sargur N. Srihari, Rohini K. Srihari, Pavithra Bab...
IJCAI
2007
13 years 5 months ago
Layout Analysis of Tree-Structured Scene Frames in Comic Images
Today, the demand of services for comic contents increases because paper magazines and books are bulky while digital contents can be read anytime and anywhere with cellular phones...
Takamasa Tanaka, Kenji Shoji, Fubito Toyama, Juich...
IJCAI
2007
13 years 5 months ago
A Convengent Solution to Tensor Subspace Learning
Huan Wang, Shuicheng Yan, Thomas S. Huang, Xiaoou ...
IJCAI
2007
13 years 5 months ago
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...
IJCAI
2007
13 years 5 months ago
Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree
In the past ten years, boosting has become a major field of machine learning and classification. This paper brings contributions to its theory and algorithms. We first unify a ...
Claudia Henry, Richard Nock, Frank Nielsen
IJCAI
2007
13 years 5 months ago
Learning Policies for Embodied Virtual Agents through Demonstration
Although many powerful AI and machine learning techniques exist, it remains difficult to quickly create AI for embodied virtual agents that produces visually lifelike behavior. T...
Jonathan Dinerstein, Parris K. Egbert, Dan Ventura