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ICTAI
2008
IEEE
9 years 4 months ago
An Incremental Hough Transform for Detecting Ellipses in Image Data Streams
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Tra...
Sofiane Sellah, Olfa Nasraoui
ICTAI
2008
IEEE
9 years 4 months ago
Probabilistic Continuous Constraint Satisfaction Problems
Constraint programming has been used in many applications where uncertainty arises to model safe reasoning. The goal of constraint propagation is to propagate intervals of uncerta...
Elsa Carvalho, Jorge Cruz, Pedro Barahona
ICTAI
2008
IEEE
9 years 4 months ago
Answering Complex Questions Using Query-Focused Summarization Technique
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Yllias Chali, Shafiq R. Joty
ICTAI
2008
IEEE
9 years 4 months ago
Knee Point Detection on Bayesian Information Criterion
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
Qinpei Zhao, Mantao Xu, Pasi Fränti
ICTAI
2008
IEEE
9 years 4 months ago
GeoDialogue: A Software Agent Enabling Collaborative Dialogues between a User and a Conversational GIS
A fundamental challenge that must be met to achieve a usable conversational interface to Geographic Information System (GIS) is how to enable a more natural interaction between th...
Hongmei Wang, Guoray Cai, Alan M. MacEachren
ICTAI
2008
IEEE
9 years 4 months ago
Discovering Program's Behavioral Patterns by Inferring Graph-Grammars from Execution Traces
Frequent patterns in program executions represent recurring sequences of events. These patterns can be used to reveal the hidden structures of a program, and ease the comprehensio...
Chunying Zhao, Keven Ates, Jun Kong, Kang Zhang
ICTAI
2008
IEEE
9 years 4 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
ICTAI
2008
IEEE
9 years 4 months ago
Neural Network Language Models for Translation with Limited Data
In this paper we present how to estimate a continuous space Language Model with a Neural Network to be used in a Statistical Machine Translation system. We report results for an I...
Maxim Khalilov, José A. R. Fonollosa, Franc...
ICTAI
2008
IEEE
9 years 4 months ago
A Lattice-Based Model for Recommender Systems
A major challenge in building recommender systems is organizing the recommendation space since, the underlying data organization scheme has a significant impact on the overall pe...
Shriram Narayanaswamy, Raj Bhatnagar
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