Sciweavers

GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
13 years 10 months ago
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
Daniel Meyer-Delius, Christian Plagemann, Georg vo...
ECML
2007
Springer
13 years 10 months ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani
CLEAR
2007
Springer
133views Biometrics» more  CLEAR 2007»
13 years 10 months ago
The Acoustic Event Detector of AIT
In this paper the acoustic event detection and classification system that has been developed at Athens Information Technology is presented. This system relies on the use of severa...
Christos Boukis, Lazaros C. Polymenakos
ATAL
2007
Springer
13 years 10 months ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...
ACII
2007
Springer
13 years 10 months ago
SuperDreamCity: An Immersive Virtual Reality Experience That Responds to Electrodermal Activity
In this paper we describe an artistic exhibition that took place in our highly-immersive virtual-reality laboratory. We have allowed visitors to explore a virtual landscape based o...
Doron Friedman, Kana Suji, Mel Slater
ISBI
2007
IEEE
13 years 11 months ago
Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models
This paper presents a new framework for shape modeling and analysis. A shape instance is described by a curvature-based shape descriptor. A Profile Hidden Markov Model (PHMM) is ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
13 years 11 months ago
Representability of human motions by factorial hidden Markov models
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
ICMCS
2007
IEEE
151views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Exploring Contextual Information in a Layered Framework for Group Action Recognition
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
Dong Zhang, Samy Bengio
ICDM
2007
IEEE
174views Data Mining» more  ICDM 2007»
13 years 11 months ago
Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs
In this paper we propose the integration of Data Mining with Hidden Markov Models when applied to the problem of acoustic bird species recognition. We first show how each of them...
Erika Vilches, Ivan A. Escobar, Edgar E. Vallejo, ...
ICDAR
2007
IEEE
13 years 11 months ago
Combining On-Line and Off-Line Systems for Handwriting Recognition
In this paper we present a new multiple classifier system (MCS) for recognizing notes written on a whiteboard. This MCS combines one off-line and two on-line handwriting recognit...
Marcus Liwicki, Horst Bunke