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ICCV
2007
IEEE
14 years 9 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
WSDM
2009
ACM
138views Data Mining» more  WSDM 2009»
14 years 2 months ago
Adaptive subjective triggers for opinionated document retrieval
This paper proposes a novel application of a statistical language model to opinionated document retrieval targeting weblogs (blogs). In particular, we explore the use of the trigg...
Kazuhiro Seki, Kuniaki Uehara
SIGMETRICS
2006
ACM
174views Hardware» more  SIGMETRICS 2006»
14 years 1 months ago
Understanding the management of client perceived response time
Understanding and managing the response time of web services is of key importance as dependence on the World Wide Web continues to grow. We present Remote Latency-based Management...
David P. Olshefski, Jason Nieh
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 2 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
IMC
2007
ACM
13 years 9 months ago
Understanding passive and active service discovery
Increasingly, network operators do not directly operate computers on their network, yet are responsible for assessing network vulnerabilities to ensure compliance with policies ab...
Genevieve Bartlett, John S. Heidemann, Christos Pa...