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» An algorithmic approach to knowledge evolution
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TITS
2010
118views Education» more  TITS 2010»
15 years 2 days ago
Vision-Based Infotainment User Determination by Hand Recognition for Driver Assistance
We present a novel real-time computer-vision system that robustly discriminates which of the front-row seat occupants is accessing the infotainment controls. The knowledge of who i...
Shinko Y. Cheng, Mohan M. Trivedi
269
Voted
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
16 years 5 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
ECRTS
2003
IEEE
15 years 10 months ago
Using Supertasks to Improve Processor Utilization in Multiprocessor Real-Time Systems
We revisit the problem of supertasking in Pfair-scheduled multiprocessor systems. In this approach, a set of tasks, called component tasks, is assigned to a server task, called a ...
Philip Holman, James H. Anderson
265
Voted

Publication
402views
17 years 3 months ago
Geometric Broadcast Protocol for Heterogeneous Wireless Networks
We present Geometric Broadcast for Heterogeneous Sensor Networks (GBS), a novel broad- casting protocol for heterogeneous wireless sensor and actor networks. While broadcasting is ...
V. Paruchuri, A. Durresi, Raj Jain
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 10 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer