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DAGM
2010
Springer
15 years 7 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 9 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
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 6 months 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 8 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
CIKM
2010
Springer
15 years 4 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