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AAAI
1996
15 years 1 months ago
Generation of Attributes for Learning Algorithms
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...
Yuh-Jyh Hu, Dennis F. Kibler
GLOBECOM
2008
IEEE
15 years 29 days ago
Towards the Performance of ML and the Complexity of MMSE - A Hybrid Approach
—In this paper, we present a near ML-achieving sphere search technique that reduces the number of search operations significantly over existing sphere decoding (SD) algorithms. ...
Byonghyo Shim, Jun Won Choi, Insung Kang
ICML
2010
IEEE
15 years 28 days ago
Robust Subspace Segmentation by Low-Rank Representation
We propose low-rank representation (LRR) to segment data drawn from a union of multiple linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank represe...
Guangcan Liu, Zhouchen Lin, Yong Yu
SIGCOMM
2010
ACM
15 years 2 days ago
DDE: dynamic data structure excavation
Dynamic Datastructure Excavation (DDE) is a new approach to extract datastructures from C binaries without any need for debugging symbols. Unlike most existing tools, DDE uses dyn...
Asia Slowinska, Traian Stancescu, Herbert Bos
ICASSP
2010
IEEE
15 years 2 days ago
Learning from high-dimensional noisy data via projections onto multi-dimensional ellipsoids
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
Liuling Gong, Dan Schonfeld