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KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 11 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
VR
1993
IEEE
103views Virtual Reality» more  VR 1993»
15 years 11 months ago
Data Complexity for Virtual Reality: Where do all the Triangles Go?
Screen space rendering statistics were gathered from 150 3D objects, each modeled by between 2K and 40K triangles. While there is wide variance by individual object, the overall t...
Michael F. Deering
COLT
1993
Springer
15 years 11 months ago
Learning from a Population of Hypotheses
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
Michael J. Kearns, H. Sebastian Seung
ICC
2007
IEEE
114views Communications» more  ICC 2007»
15 years 10 months ago
Optimizing Throughput with Carrier Sensing Adaptation for IEEE 802.11 Mesh Networks Based on Loss Differentiation
In high density (HD) mesh networks, packet losses can occur due to co-channel interference (asynchronous interference) or collisions (synchronous interference). In this paper, we f...
Hui Ma, Soo Young Shin, Sumit Roy
CLOR
2006
15 years 10 months ago
Object Recognition in the Geometric Era: A Retrospective
Recent advances in object recognition have emphasized the integration of intensity-derived features such as affine patches with associated geometric constraints leading to impressi...
Joseph L. Mundy