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ICTAI
2008
IEEE
9 years 5 months ago
Real-Time Classification of Streaming Sensor Data
The last decade has seen a huge interest in classification of time series. Most of this work assumes that the data resides in main memory and is processed offline. However, recent...
Shashwati Kasetty, Candice Stafford, Gregory P. Wa...
ICTAI
2008
IEEE
9 years 5 months ago
Scheduling for Dedicated Machine Constraint Using Integer Programming
We propose an Integer Programming (IP) framework to undertake the dedicated photolithography machine constraint in semiconductor manufacturing. The constraint is one of the new ch...
Huy Nguyen Anh Pham, Arthur M. D. Shr, Peter P. Ch...
ICTAI
2008
IEEE
9 years 5 months ago
Let the Solver Deal with Redundancy
Handling redundancy in propositional reasoning and search is an active path of theoretical research. For instance, the complexity of some redundancy-related problems for CNF formu...
Cédric Piette
ICTAI
2008
IEEE
9 years 5 months ago
Fuzzy Information Retrieval Model Based on Multiple Related Ontologies
– With the World Wide Web popularity the information retrieval area has a new challenge intending to retrieve information resources by their meaning by using a knowledge base. No...
Maria Angelica A. Leite, Ivan L. M. Ricarte
ICTAI
2008
IEEE
9 years 5 months ago
DOG: An Ontology-Powered OSGi Domotic Gateway
This paper proposes an ontology-powered Domotic OSGi Gateway (DOG) able to expose different domotic networks as a single, technology neutral, home automation system. The adoption ...
Dario Bonino, Emiliano Castellina, Fulvio Corno
ICTAI
2008
IEEE
9 years 5 months ago
Face Recognition Using a Color Subspace LDA Approach
This paper delves into the problem of face recognition using color as an important cue in improving the accuracy of recognition. To perform recognition of color images, we use the...
Mani Thomas, Chandra Kambhamettu, Senthil Kumar
ICTAI
2008
IEEE
9 years 5 months ago
Adding Flexibility to Russian Doll Search
Margarita Razgon, Gregory M. Provan
ICTAI
2008
IEEE
9 years 5 months ago
Using Imputation Techniques to Help Learn Accurate Classifiers
It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greine...
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