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» A General Method for Feature Matching and Model Extraction
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ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman
SIGIR
2002
ACM
15 years 3 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
FM
2008
Springer
93views Formal Methods» more  FM 2008»
15 years 5 months ago
Finding Minimal Unsatisfiable Cores of Declarative Specifications
Declarative specifications exhibit a variety of problems, such as inadvertently overconstrained axioms and underconstrained conjectures, that are hard to diagnose with model checki...
Emina Torlak, Felix Sheng-Ho Chang, Daniel Jackson
CN
2004
103views more  CN 2004»
15 years 3 months ago
Modeling IP traffic: joint characterization of packet arrivals and packet sizes using BMAPs
This paper proposes a traffic model and a parameter fitting procedure that are capable of achieving accurate prediction of the queuing behavior for IP traffic exhibiting long-rang...
Paulo Salvador, António Pacheco, Rui Valada...
IJCV
2000
164views more  IJCV 2000»
15 years 3 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann