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FPL
2009
Springer
156views Hardware» more  FPL 2009»
15 years 11 months ago
A highly scalable Restricted Boltzmann Machine FPGA implementation
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
ICIP
2000
IEEE
15 years 11 months ago
Switched Error Concealment and Robust Coding Decisions in Scalable Video Coding
This work introduces two complementary techniques to improve the packet loss resilience of scalable video coding systems. First, a “switch per-pixel” error concealment (SPEC) ...
Rui Zhang, Shankar L. Regunathan, Kenneth Rose
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 11 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
ERCIMDL
1997
Springer
106views Education» more  ERCIMDL 1997»
15 years 10 months ago
Scalable Text Retrieval for Large Digital Libraries
It is argued that digital libraries of the future will contain terabyte-scale collections of digital text and that full-text searching techniques will be required to operate over c...
David Hawking
AINA
2004
IEEE
15 years 10 months ago
Balancing Workload based on Content Types for Scalable Web Server Clusters
With the rapid growth of information stored in worldwide web servers, searching and capturing data on Internet become a common behavior for us. In order to increase the availabili...
Tzung-Shi Chen, Kuo-Lian Chen