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JFR
2006
88views more  JFR 2006»
15 years 6 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
ICMCS
2005
IEEE
103views Multimedia» more  ICMCS 2005»
16 years 6 days ago
Embedded Key-Frame Extraction for CG Animation by Frame Decimation
This paper proposes a method for key-frame selection of captured motion data. In many cases, it is desirable to obtain a compact representation of the human motion. Key-framing is...
Shiyu Li, Masahiro Okuda, Shinichi Takahashi
WSC
2008
15 years 9 months ago
A new method for bottleneck detection
This paper presents a new method to identify and rank the bottlenecks in a manufacturing system. The proposed method is based on performance related data that are easy to capture,...
Sankar Sengupta, Kanchan Das, Robert P. VanTil
DMIN
2009
142views Data Mining» more  DMIN 2009»
15 years 4 months ago
A Combinatorial Fusion Method for Feature Construction
- This paper demonstrates how methods borrowed from information fusion can improve the performance of a classifier by constructing (i.e., fusing) new features that are combinations...
Ye Tian, Gary M. Weiss, D. Frank Hsu, Qiang Ma
KDD
2007
ACM
210views Data Mining» more  KDD 2007»
16 years 22 days ago
Machine learning for stock selection
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
Robert J. Yan, Charles X. Ling