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Point cloud data has been one type of widely used data sources in the field of remote sensing. Key steps of point cloud data’s pro-processing focus on gross error elimination and quality control. Owin...
Forest inventories collect feature data manually on terrestrial field plots. Measuring large amounts of breast height diameters and tree positions is time consuming. Terrestrial laser scanning could b...
In this paper an efficient speaker identification (SpkID) method is proposed. In GMM-based speaker recognition, the model training and the likelihood score computations are very time...
Bag-of-visual Words (BoW) image representation is getting popular in computer vision and multimedia communities.However, experiments show that the traditional BoW representation is not as effective as...
This work aims at developing a scalable vision-based location recognition system where the backend database can be updated incrementally. Our proposed framework enables incremental indexing of vocabul...
Binari zatoin approache s ar e found promising in performing the task of email catego rization. Amongst the st andard bi narization ap pr oaches , th e one comb in in g the some-against-rest binari...
Wyner-Ziv Video Coding Based on Set Partitioning in Hierarchical Tree.
We propose a tree-based kernel selection (TBKS) algorithm as a computationally efficient approach to the Gaussian mixture model–universal background model (GMM–UBM) based speaker identification. All G...
In this study, we present a preprocessing method for quadrupole time-of-flight (Q-TOF) tandem mass spectra to increase the accuracy of database searching for peptide (protein) identification. Based on...
We present a processing method for Q-TOF tandem mass spectra to increase the accuracy of database searching for peptide (protein) identification. Based on the natural isotopic information inherent in ...
In this paper a new method of reducing the computational load for Gaussian Mixture Model Universal Background Model (GMM-UBM) based speaker identification is proposed. In order to speed up the selecti...
Web site mining, which aims at automatically discovering and classifying topic-specific web sites from the World Wide Web, has attracted increasing attention as indicated by the exponential growth of...

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