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DAGM
2010
Springer
15 years 1 months ago
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
Fuxin Li, Catalin Ionescu, Cristian Sminchisescu
CVPR
2011
IEEE
14 years 4 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
107
Voted
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 29 days ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
BIOID
2008
135views Biometrics» more  BIOID 2008»
15 years 2 months ago
Multimodal Speaker Identification Based on Text and Speech
Abstract. This paper proposes a novel method for speaker identification based on both speech utterances and their transcribed text. The transcribed text of each speaker's utte...
Panagiotis Moschonas, Constantine Kotropoulos
127
Voted
CIKM
2010
Springer
14 years 11 months ago
Hypergraph-based multilevel matrix approximation for text information retrieval
In Latent Semantic Indexing (LSI), a collection of documents is often pre-processed to form a sparse term-document matrix, followed by a computation of a low-rank approximation to...
Haw-ren Fang, Yousef Saad