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8,542
Model-Based Clustering, Discriminant Analysis, and Density Estimation
- JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
, 2000
"... Cluster analysis is the automated search for groups of related observations in a data set. Most clustering done in practice is based largely on heuristic but intuitively reasonable procedures and most clustering methods available in commercial software are also of this type. However, there is little ..."
Abstract
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Cited by 573 (29 self)
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for model-based clustering that provides a principled statistical approach to these issues. We also show that this can be useful for other problems in multivariate analysis, such as discriminant analysis and multivariate density estimation. We give examples from medical diagnosis, mineeld detection, cluster
Decision-Theoretic Planning: Structural Assumptions and Computational Leverage
- JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
, 1999
"... Planning under uncertainty is a central problem in the study of automated sequential decision making, and has been addressed by researchers in many different fields, including AI planning, decision analysis, operations research, control theory and economics. While the assumptions and perspectives ..."
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Cited by 515 (4 self)
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and perspectives adopted in these areas often differ in substantial ways, many planning problems of interest to researchers in these fields can be modeled as Markov decision processes (MDPs) and analyzed using the techniques of decision theory. This paper presents an overview and synthesis of MDP
Mediators in the architecture of future information systems
- IEEE COMPUTER
, 1992
"... The installation of high-speed networks using optical fiber and high bandwidth messsage forwarding gateways is changing the physical capabilities of information systems. These capabilities must be complemented with corresponding software systems advances to obtain a real benefit. Without smart softw ..."
Abstract
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Cited by 1135 (20 self)
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the administrative and technical knowledge to create information needed for decision-making. Software which mediates is common today, but the structure, the interfaces, and implementations vary greatly, so that automation of integration is awkward. By formalizing and implementing mediation we establish a partitioned
Imagenet: A large-scale hierarchical image database
- In CVPR
, 2009
"... The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images and multimedia data. But exactly how such data can be harnessed and organized remains a critical problem. We introduce her ..."
Abstract
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Cited by 840 (28 self)
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datasets. Constructing such a large-scale database is a challenging task. We describe the data collection scheme with Amazon Mechanical Turk. Lastly, we illustrate the usefulness of ImageNet through three simple applications in object recognition, image classification and automatic object clustering. We
The Paradyn Parallel Performance Measurement Tools
- IEEE COMPUTER
, 1995
"... Paradyn is a performance measurement tool for parallel and distributed programs. Paradyn uses several novel technologies so that it scales to long running programs (hours or days) and large (thousand node) systems, and automates much of the search for performance bottlenecks. It can provide precise ..."
Abstract
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Cited by 447 (39 self)
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Paradyn is a performance measurement tool for parallel and distributed programs. Paradyn uses several novel technologies so that it scales to long running programs (hours or days) and large (thousand node) systems, and automates much of the search for performance bottlenecks. It can provide precise
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function
- J. Comput. Chem
, 1998
"... ABSTRACT: A novel and robust automated docking method that predicts the bound conformations of flexible ligands to macromolecular targets has been developed and tested, in combination with a new scoring function that estimates the free energy change upon binding. Interestingly, this method applies a ..."
Abstract
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Cited by 380 (4 self)
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algorithm, and compare their performance in dockings of seven protein�ligand test systems having known three-dimensional structure. We show that both the traditional and Lamarckian genetic algorithms can handle ligands with more degrees of freedom than the simulated annealing method used in earlier versions
Realistic Modeling for Facial Animation
, 1995
"... A major unsolved problem in computer graphics is the construction and animation of realistic human facial models. Traditionally, facial models have been built painstakingly by manual digitization and animated by ad hoc parametrically controlled facial mesh deformations or kinematic approximation of ..."
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Cited by 362 (14 self)
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suitable for animation. In this paper, we present a methodology for automating this challenging task. Starting with a structured facial mesh, we develop algorithms that automatically construct functional models of the heads of human subjects from laser-scanned range and reflectance data. These algorithms
Beyond Word N-Grams
, 1995
"... We describe, analyze, and experimentally evaluate a new probabilistic model for word- sequence prediction in natural languages, based on prediction suffix trees (PSTs). By using efficient data structures, we extend the notion of PST to unbounded vocabularies. We also show how to use a Bayesian ap ..."
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Cited by 20 (1 self)
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models suggests that they may be an advantageous alternative, both theoretically and practically, to the widely used n-gram models.
Word n-grams for cluster keyboards
- Proceedings of the Workshop on Language Modeling for Text Entry Methods, 11th Conference of the European Chapter of the Association for Computational Linguistics
, 2003
"... A cluster keyboard partitions the letters of the alphabet onto subset keys. On such keyboards most words are typed with no more key presses than on the standard keyboard, but a key sequence may stand for two or more words. In current practice, this ambiguity problem is addressed by hypothesizing wor ..."
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words according to their unigram (occurrence) frequency. When the hypothesized word is not the intended one, an error arises. In this paper, we study the effect of deploying large, n-gram language models used in speech recognition for improving the error rate. We use the North American Business News
Modeling Documents for Structure Recognition Using Generalized N-Grams
- in Proceedings of ICDAR
, 1996
"... In this paper we present and discuss a novel approach to modeling logical structures of documents, based on a statistical representation of patterns in a document class. An efficient and error tolerant recognition heuristics adapted to the model is proposed. The statistical approach permits easily a ..."
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Cited by 12 (5 self)
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automated and incremental learning of the model. The approach has been partially evaluated on a prototype. A discussion of the results achieved by the prototype is finally made. 1 Introduction The need for strongly structured documents has been recognized for a long time and their importance increases
Results 1 - 10
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8,542
