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BLISS
2009
IEEE
14 years 20 days ago
Recognition of Dynamic Texture Patterns Using CHLAC Features
In this paper, we propose a statistical scheme for recognizing three-dimensional textures shown in motion images, which we call dynamic textures. The texture characteristics emerg...
Takumi Kobayashi, Tetsuya Higuchi, Tsuneharu Miyaj...
BLISS
2009
IEEE
14 years 20 days ago
Autonomous Physical Secret Functions and Clone-Resistant Identification
Self configuring VLSI technology architectures offer a new environment for creating novel security functions. Two such functions for physical security architectures are proposed t...
Wael Adi
IJCAI
1989
14 years 22 days ago
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Sholom M. Weiss, Ioannis Kapouleas
ACL
1997
14 years 27 days ago
Learning Features that Predict Cue Usage
Our goal is to identify the features that predict the occurrence and placement of discourse cues in tutorial explanations in order to aid in the automatic generation of explanatio...
Barbara Di Eugenio, Johanna D. Moore, Massimo Paol...
AAAI
1997
14 years 27 days ago
Machine Learning for Intelligent Systems
Recent research in machine learning has focused on supervised induction for simple classi cation and reinforcement learning for simple reactive behaviors. In the process, the eld ...
Pat Langley
USENIX
2003
14 years 27 days ago
Learning Spam: Simple Techniques For Freely-Available Software
The problem of automatically filtering out spam e-mail using a classifier based on machine learning methods is of great recent interest. This paper gives an introduction to mach...
Bart Massey, Mick Thomure, Raya Budrevich, Scott L...
ACL
1998
14 years 28 days ago
Experiments with Learning Parsing Heuristics
Any large language processing software relies in its operation on heuristic decisions concerning the strategy of processing. These decisions are usually "hard-wired" int...
Sylvain Delisle, Sylvain Létourneau, Stan M...
AAAI
2000
14 years 28 days ago
ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
Joseph Beck, Beverly Park Woolf, Carole R. Beal
VIRTUALLAB
2004
14 years 28 days ago
Distributed Control Lab
Andreas Rasche, Bernhard Rabe, Peter Tröger, ...