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» Histogram Based Segmentation Using Wasserstein Distances
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WSCG
2003
191views more  WSCG 2003»
13 years 8 months ago
Binary Histogram in Image Classification for Retrieval Purposes
Image retrieval can be considered as a classification problem. Classification is usually based on some image features. In the feature extraction image segmentation is commonly use...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
TASLP
2008
131views more  TASLP 2008»
13 years 7 months ago
Histogram-Based Quantization for Robust and/or Distributed Speech Recognition
Abstract--In a distributed speech recognition (DSR) framework, the speech features are quantized and compressed at the client and recognized at the server. However, recognition acc...
Chia-Yu Wan, Lin-Shan Lee
CIKM
2005
Springer
14 years 29 days ago
Query workload-aware overlay construction using histograms
Peer-to-peer (p2p) systems offer an efficient means of data sharing among a dynamically changing set of a large number of autonomous nodes. Each node in a p2p system is connected...
Georgia Koloniari, Yannis Petrakis, Evaggelia Pito...
CIBCB
2009
IEEE
13 years 8 months ago
DDPIn - Distance and density based protein indexing
Protein structure similarity and classification methods have many applications in protein function prediction and associated fields (e.g. drug discovery). In this paper, we propose...
David Hoksza
ICPR
2000
IEEE
14 years 8 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...