Felicitous
发表于 2025-3-28 16:31:06
Understanding the Top Grass Roots in Sina-Weibo,Twitter. In this paper, we investigate the properties of messages published by this group of users and classify the messages into various topic categories using text classification methods based on the Bag of Words (BOW) model. We find that, using Naïve Bayes, it is possible to achieve high accuracy
Cirrhosis
发表于 2025-3-28 22:49:21
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Arable
发表于 2025-3-28 23:19:39
A Novel Unconstrained Correlation Filter and Its Application in Face Recognition,ecognition. Compared with the conventional correlation filters in Class-dependence Feature Analysis (CFA), UOOTF increases the overall performance for unseen patterns by removing the hard constraints on the outputs during the filter design. Experimental results on the popular FERET, FRGC and CAS-PEA
thrombosis
发表于 2025-3-29 03:18:17
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束缚
发表于 2025-3-29 10:36:02
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Intruder
发表于 2025-3-29 13:45:31
Neural Population Decoding in Short-Time Windows, short-time window. Two decoding strategies, namely, maximum likelihood inference and template-matching, are explored. We find that in a short-time window, two methods are not efficient and that their errors satisfy the Cauchy distributions. As expected, maximum likelihood inference outperforms temp
削减
发表于 2025-3-29 17:31:38
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faucet
发表于 2025-3-29 20:23:12
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隼鹰
发表于 2025-3-30 02:27:58
A Novel Inductive Semi-supervised SVM with Graph-Based Self-training,ping unlabeled data with self-training. The SVM classifier is iteratively refined through the augmentation of the training set. An improved self-training method is given by employing neighborhood graph for guarantying the reliability of newly added training examples. In detail, in each iteration of
sebaceous-gland
发表于 2025-3-30 05:50:22
Pseudo-Zernike Moment Invariants to Blur Degradation and Their Use in Image Recognition,on of blurred images has become a key task in pattern recognition and moment invariant-based methods play an important role in this field. In this paper, we construct a new set of invariants using Pseudo-Zernike moments which are invariant to convolution with circularly symmetric point spread functi