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» Machine-Learning Applications of Algorithmic Randomness
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KDD
2010
ACM
222views Data Mining» more  KDD 2010»
13 years 10 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...
CORR
2010
Springer
225views Education» more  CORR 2010»
13 years 8 months ago
Sensing Matrix Optimization for Block-Sparse Decoding
Recent work has demonstrated that using a carefully designed sensing matrix rather than a random one, can improve the performance of compressed sensing. In particular, a welldesign...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
CORR
2007
Springer
120views Education» more  CORR 2007»
13 years 8 months ago
Distributed Fair Scheduling Using Variable Transmission Lengths in Carrier-Sensing-based Wireless Networks
— The fairness of IEEE 802.11 wireless networks (including Wireless LAN and Ad-hoc networks) is hard to predict and control because of the randomness and complexity of the MAC co...
Libin Jiang, Jean C. Walrand
CVPR
2009
IEEE
15 years 2 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
KDD
2010
ACM
318views Data Mining» more  KDD 2010»
13 years 6 months ago
DivRank: the interplay of prestige and diversity in information networks
Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining tasks rely on ranking the dat...
Qiaozhu Mei, Jian Guo, Dragomir R. Radev