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KDD
2010
ACM
242views Data Mining» more  KDD 2010»
15 years 1 months ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye
CRYPTO
2010
Springer
181views Cryptology» more  CRYPTO 2010»
15 years 29 days ago
On the Efficiency of Classical and Quantum Oblivious Transfer Reductions
Due to its universality oblivious transfer (OT) is a primitive of great importance in secure multi-party computation. OT is impossible to implement from scratch in an unconditional...
Severin Winkler, Jürg Wullschleger
TASLP
2008
102views more  TASLP 2008»
14 years 11 months ago
On the Importance of the Pearson Correlation Coefficient in Noise Reduction
Noise reduction, which aims at estimating a clean speech from noisy observations, has attracted a considerable amount of research and engineering attention over the past few decade...
Jacob Benesty, Jingdong Chen, Yiteng Huang
SAC
2006
ACM
15 years 5 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
SIGMOD
1998
ACM
142views Database» more  SIGMOD 1998»
15 years 4 months ago
Dimensionality Reduction for Similarity Searching in Dynamic Databases
Databases are increasingly being used to store multi-media objects such as maps, images, audio and video. Storage and retrieval of these objects is accomplished using multi-dimens...
Kothuri Venkata Ravi Kanth, Divyakant Agrawal, Amb...