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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 11 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
OSDI
2006
ACM
14 years 9 months ago
Connection Handoff Policies for TCP Offload Network Interfaces
This paper presents three policies for effectively utilizing TCP offload network interfaces that support connection handoff. These policies allow connection handoff to reduce the ...
Hyong-youb Kim, Scott Rixner
PPOPP
2009
ACM
14 years 9 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle
CHI
2005
ACM
14 years 9 months ago
The bubble cursor: enhancing target acquisition by dynamic resizing of the cursor's activation area
We present the bubble cursor ? a new target acquisition technique based on area cursors. The bubble cursor improves upon area cursors by dynamically resizing its activation area d...
Tovi Grossman, Ravin Balakrishnan
ICCV
2009
IEEE
15 years 2 months ago
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...