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IJCAI
1997
9 years 3 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
NIPS
2000
9 years 3 months ago
Interactive Parts Model: An Application to Recognition of On-line Cursive Script
In this work, we introduce an Interactive Parts (IP) model as an alternative to Hidden Markov Models (HMMs). We tested both models on a database of on-line cursive script. We show...
Predrag Neskovic, Philip C. Davis, Leon N. Cooper
AAAI
2000
9 years 3 months ago
Information Extraction with HMM Structures Learned by Stochastic Optimization
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
Dayne Freitag, Andrew McCallum
NIPS
2003
9 years 3 months ago
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...
WSC
2004
9 years 3 months ago
Risk and Information in the Estimation of Hidden Markov Models
In this paper, we consider the relationship between risksensitivity and information. Product estimators are introduced as a generalization of Maximum A Posteriori Probability (MAP...
Vahid Reza Ramezani, Steven I. Marcus, Michael C. ...
INTERACT
2003
9 years 3 months ago
The New Text and Graphical Input Device: Compact Biometrical Data Acquisition
Abstract: Development of new text and graphical input devices is considered to be important part of humancomputer interaction by many researchers worldwide. Our paper presents our ...
Pen Ondrej Rohlik, Pavel Mautner, Václav Ma...
UAI
2004
9 years 3 months ago
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences
We present a new method for nonlinear prediction of discrete random sequences under minimal structural assumptions. We give a mathematical construction for optimal predictors of s...
Cosma Rohilla Shalizi, Kristina Lisa Shalizi
IICAI
2003
9 years 3 months ago
TANSEN: A System for Automatic Raga Identification
Computational Musicology is a new and emerging field which draws heavily from Computer Science, particularly Artificial Intelligence. Western Music has been under the gaze of thi...
Gaurav Pandey, Chaitanya Mishra, Paul Ipe
NIPS
2001
9 years 3 months ago
The Infinite Hidden Markov Model
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integ...
Matthew J. Beal, Zoubin Ghahramani, Carl Edward Ra...
NIPS
2004
9 years 3 months ago
Conditional Models of Identity Uncertainty with Application to Noun Coreference
Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important problem in natural language processing, databases, citation matching and m...
Andrew McCallum, Ben Wellner
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