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SIGMOD
2009
ACM
235views Database» more  SIGMOD 2009»
14 years 6 months ago
Quality and efficiency in high dimensional nearest neighbor search
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
DMIN
2007
214views Data Mining» more  DMIN 2007»
13 years 7 months ago
A Fast KNN Algorithm Based on Simulated Annealing
K-Nearest Neighbor is used broadly in text classification, but it has one deficiency—computational efficiency. In this paper, we propose a heuristic search way to find out the k ...
Chuanyao Yang, Yuqin Li, Chenghong Zhang, Yunfa Hu
ICASSP
2010
IEEE
13 years 6 months ago
Searching with expectations
Handling large amounts of data, such as large image databases, requires the use of approximate nearest neighbor search techniques. Recently, Hamming embedding methods such as spec...
Harsimrat Sandhawalia, Herve Jegou
DATE
2008
IEEE
116views Hardware» more  DATE 2008»
14 years 15 days ago
Fast Analog Circuit Synthesis Using Sensitivity Based Near Neighbor Searches
We present an efficient analog synthesis algorithm employing regression models of circuit matrices. Circuit matrix models achieve accurate and speedy synthesis of analog circuits...
Almitra Pradhan, Ranga Vemuri
PKDD
2005
Springer
131views Data Mining» more  PKDD 2005»
13 years 11 months ago
ISOLLE: Locally Linear Embedding with Geodesic Distance
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
Claudio Varini, Andreas Degenhard, Tim W. Nattkemp...