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» Exploring Data Streams with Nonparametric Estimators
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NIPS
2004
13 years 6 months ago
Non-Local Manifold Tangent Learning
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
Yoshua Bengio, Martin Monperrus
JSAC
2007
105views more  JSAC 2007»
13 years 5 months ago
Inferring Network-Wide Quality in P2P Live Streaming Systems
—This paper explores how to remotely monitor network-wide quality in mesh-pull P2P live streaming systems. Peers in such systems advertise to each other buffer maps which summari...
Xiaojun Hei, Yong Liu, Keith W. Ross
MSS
2003
IEEE
84views Hardware» more  MSS 2003»
13 years 10 months ago
Views, Objects, and Persistence for Accessing a High Volume Global Data Set
Efficient access methods are reviewed and explored in relation to the global surface hourly data set and several of its derivative products. Typical access paradigms are compared ...
Richard T. Baldwi
DATE
2002
IEEE
100views Hardware» more  DATE 2002»
13 years 10 months ago
AccuPower: An Accurate Power Estimation Tool for Superscalar Microprocessors
This paper describes the AccuPower toolset -- a set of simulation tools accurately estimating the power dissipation within a superscalar microprocessor. AccuPower uses a true hard...
Dmitry Ponomarev, Gurhan Kucuk, Kanad Ghose
DATE
2009
IEEE
105views Hardware» more  DATE 2009»
14 years 1 days ago
Enrichment of limited training sets in machine-learning-based analog/RF test
Abstract— This paper discusses the generation of informationrich, arbitrarily-large synthetic data sets which can be used to (a) efficiently learn tests that correlate a set of ...
Haralampos-G. D. Stratigopoulos, Salvador Mir, Yio...