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AAAI
2000
8 years 8 months ago
Self-Supervised Learning for Visual Tracking and Recognition of Human Hand
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...
Ying Wu, Thomas S. Huang
AAAI
2000
8 years 8 months ago
The Complexity of Restricted Consequence Finding and Abduction
We analyze the complexity of propositional kernel resolution (del Val 1999), a general method for obtaining logical consequences in restricted target languages. Different choices ...
Alvaro del Val
AAAI
2000
8 years 8 months ago
Appearance-Based Obstacle Detection with Monocular Color Vision
This paper presents a new vision-based obstacle detection method for mobile robots. Each individual image pixel is classified as belonging either to an obstacle or the ground base...
Iwan Ulrich, Illah R. Nourbakhsh
AAAI
2000
8 years 8 months ago
Collective Intelligence and Braess' Paradox
We consider the use of multi-agent systems to control network routing. Conventional approaches to this task are based on Ideal Shortest Path routing Algorithm (ISPA), under which ...
Kagan Tumer, David Wolpert
AAAI
2000
8 years 8 months ago
Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods
The main problem of planning is to find a sequence of actions that an agent must perform to achieve a given objective. An important part of planning is checking whether a given pl...
Raul Trejo, Vladik Kreinovich, Chitta Baral
AAAI
2000
8 years 8 months ago
Gridworlds as Testbeds for Planning with Incomplete Information
Gridworlds are popular testbeds for planning with incomplete information but not much is known about their properties. We study a fundamental planning problem, localization, to in...
Craig A. Tovey, Sven Koenig
AAAI
2000
8 years 8 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller
AAAI
2000
8 years 8 months ago
Monte Carlo Localization with Mixture Proposal Distribution
Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
Sebastian Thrun, Dieter Fox, Wolfram Burgard
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