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SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 8 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
IFIP12
2008
15 years 8 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
UAI
2008
15 years 8 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
GRAPHICSINTERFACE
2004
15 years 8 months ago
A Hybrid Hardware-Accelerated Algorithm for High Quality Rendering of Visual Hulls
In this paper, a novel hybrid algorithm is presented for the fast construction and high-quality rendering of visual hulls. We combine the strengths of two complementary hardware-a...
Ming Li, Marcus A. Magnor, Hans-Peter Seidel
ALENEX
2001
151views Algorithms» more  ALENEX 2001»
15 years 8 months ago
The Asymmetric Traveling Salesman Problem: Algorithms, Instance Generators, and Tests
The purpose of this paper is to provide a preliminary report on the rst broad-based experimental comparison of modern heuristics for the asymmetric traveling salesmen problem ATSP....
Jill Cirasella, David S. Johnson, Lyle A. McGeoch,...