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Probabilistic Visual Learning for Object Representation

by Baback Moghaddam, Alex Pentland , 1996
"... We present an unsupervised technique for visual learning which is based on density estimation in high-dimensional spaces using an eigenspace decomposition. Two types of density estimates are derived for modeling the training data: a multivariate Gaussian (for unimodal distributions) and a Mixture-of ..."
Abstract - Cited by 699 (15 self) - Add to MetaCart
-of-Gaussians model (for multimodal distributions). These probability densities are then used to formulate a maximum-likelihood estimation framework for visual search and target detection for automatic object recognition and coding. Our learning technique is applied to the probabilistic visual modeling, detection

Kernel-Based Object Tracking

by Dorin Comaniciu, Visvanathan Ramesh, Peter Meer , 2003
"... A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity fu ..."
Abstract - Cited by 900 (4 self) - Add to MetaCart
A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity

The Berkeley FrameNet Project

by Collin F. Baker , Charles J. Fillmore, John B. Lowe - IN PROCEEDINGS OF THE COLING-ACL , 1998
"... FrameNet is a three-year NSF-supported project in corpus-based computational lexicography, now in its second year #NSF IRI-9618838, #Tools for Lexicon Building"#. The project's key features are #a# a commitment to corpus evidence for semantic and syntactic generalizations, and #b# the repr ..."
Abstract - Cited by 643 (3 self) - Add to MetaCart
# the representation of the valences of its target words #mostly nouns, adjectives, and verbs# in which the semantic portion makes use of frame semantics. The resulting database will contain #a# descriptions of the semantic frames underlying the meanings of the words described, and #b# the valence representation

Pitch Target Representation of Thai Tones

by Santitham Prom-on, Yi Xu
"... This paper presents a quantitative representation of Thai tones in the form of pitch targets. The optimal pitch targets of Thai tones were estimated by using a combination of the quantitative Target Approximation (qTA) model and a stochastic learning algorithm. With the advent of this technique, the ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
This paper presents a quantitative representation of Thai tones in the form of pitch targets. The optimal pitch targets of Thai tones were estimated by using a combination of the quantitative Target Approximation (qTA) model and a stochastic learning algorithm. With the advent of this technique

The reviewing of object files: Object specific integration of information

by Daniel Kahneman, Anne Treisman, J. Gibbs - Cognitive Psychology , 1992
"... A series of experiments explored a form of object-specific priming. In all experiments a preview field containing two or more letters is followed by a target letter that is to be named. The displays are designed to produce a perceptual interpretation of the target as a new state of an object that pr ..."
Abstract - Cited by 462 (4 self) - Add to MetaCart
of a reviewing process, which is triggered by the appearance of the target and retrieves just one of the previewed items. In the absence of an object link, the reviewing item is selected at random. We develop the concept of an object file as a temporary episodic representation, within which successive

Adaptive Display Algorithm for Interactive Frame Rates During Visualization of Complex Virtual Environments

by Thomas Funkhouser, Carlo Sequin , 1993
"... We describe an adaptive display algorithm for interactive frame rates during visualization of very complex virtual environments. The algorithm relies upon a hierarchical model representation in which objects are described at multiple levels of detail and can be drawn with various rendering algorithm ..."
Abstract - Cited by 450 (10 self) - Add to MetaCart
We describe an adaptive display algorithm for interactive frame rates during visualization of very complex virtual environments. The algorithm relies upon a hierarchical model representation in which objects are described at multiple levels of detail and can be drawn with various rendering

Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition

by Thomas G. Dietterich - Journal of Artificial Intelligence Research , 2000
"... This paper presents a new approach to hierarchical reinforcement learning based on decomposing the target Markov decision process (MDP) into a hierarchy of smaller MDPs and decomposing the value function of the target MDP into an additive combination of the value functions of the smaller MDPs. Th ..."
Abstract - Cited by 443 (6 self) - Add to MetaCart
This paper presents a new approach to hierarchical reinforcement learning based on decomposing the target Markov decision process (MDP) into a hierarchy of smaller MDPs and decomposing the value function of the target MDP into an additive combination of the value functions of the smaller MDPs

Learning to detect unseen object classes by betweenclass attribute transfer

by Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling - In CVPR , 2009
"... We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This setup has hardly been studied in computer vision research, but it is the rule rather than the exception, because the world contains tens of t ..."
Abstract - Cited by 363 (5 self) - Add to MetaCart
We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This setup has hardly been studied in computer vision research, but it is the rule rather than the exception, because the world contains tens

Article Performance Analysis of Mobile Laser Scanning Systems in Target Representation

by Yi Lin, Harri Kaartinen, Antero Kukko , 2013
"... Abstract: The technology of mobile laser scanning (MLS) has developed rapidly in recent years. This speedy development is evidenced by the emergence of a variety of MLS systems in commercial market and academic institutions. However, the producers tend to supply the specifications of the individual ..."
Abstract - Add to MetaCart
typical MLS systems (Riegl VMX-250, Roamer and Sensei) in terms of target representation. Retrievals of window areas and lighting pole radiuses served as representative cases, as these parameters correspond to the spatial scales from meter to centimeter. The evaluations showed that the VMX-250

State Transition Analysis: A Rule-Based Intrusion Detection Approach

by Koral Ilgun, Richard A. Kemmerer, Phillip A. Porras - IEEE TRANSACTIONS ON SOFTWARE ENGINEERING , 1995
"... This paper presents a new approach to representing and detecting computer penetrations in real-time. The approach, called state transition analysis, models penetrations as a series of state changes that lead from an initial secure state to a target compromised state. State transition diagrams, the g ..."
Abstract - Cited by 353 (19 self) - Add to MetaCart
This paper presents a new approach to representing and detecting computer penetrations in real-time. The approach, called state transition analysis, models penetrations as a series of state changes that lead from an initial secure state to a target compromised state. State transition diagrams
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