1 code implementation • 17 Apr 2023 • Tianjun Wei, Jianghong Ma, Tommy W. S. Chow
In collaborative filtering, distance metric learning has been applied to matrix factorization techniques with promising results.
no code implementations • 20 Sep 2022 • Xiaolei Lu, Tommy W. S. Chow
To accelerate the marginalization of the proposed model, a valid label sequence inference (VLSE) method is proposed to derive the valid ground-truth label sequences from crowd sequential annotations.
no code implementations • 20 Sep 2022 • Xiaolei Lu, Tommy W. S. Chow
Existing disambiguation strategies for partial structured output learning just cannot generalize well to solve the problem that there are some candidates which can be false positive or similar to the ground-truth label.
no code implementations • 20 Sep 2022 • Xiaolei Lu, Tommy W. S. Chow
Then confidence measure is introduced in the model to address different contributions of candidate labels, which enables the ground-truth label information to be utilized in parameter learning.
no code implementations • 19 Sep 2022 • Xiaolei Lu, Tommy W. S. Chow
Existing methods for keyphrase extraction need preprocessing to generate candidate phrase or post-processing to transform keyword into keyphrase.
1 code implementation • 13 Jul 2022 • Tianjun Wei, Jianghong Ma, Tommy W. S. Chow
In this paper, we investigate the graph sampling strategy adopted in latest GCN model for efficiency improving, and identify the potential item group structure in the sampled graph.
no code implementations • 22 Jun 2019 • Hadrien Van Lierde, Tommy W. S. Chow
As each topic defines a semantic connection among a group of sentences with a certain degree of membership for each sentence, we propose a fuzzy hypergraph model in which nodes are sentences and fuzzy hyperedges are topics.
no code implementations • 2 Feb 2019 • Hadrien Van Lierde, Tommy W. S. Chow
Existing graph- and hypergraph-based algorithms for document summarization represent the sentences of a corpus as the nodes of a graph or a hypergraph in which the edges represent relationships of lexical similarities between sentences.
no code implementations • 28 Feb 2018 • Jicong Fan, Tommy W. S. Chow
RKPCA can be applied to many problems such as noise removal and subspace clustering and is still the only unsupervised nonlinear method robust to sparse noises.
no code implementations • 24 Nov 2014 • Min Wei, Tommy W. S. Chow, Rosa H. M. Chan
Conventional mutual information (MI) based feature selection (FS) methods are unable to handle heterogeneous feature subset selection properly because of data format differences or estimation methods of MI between feature subset and class label.
1 code implementation • / 2013 • Bill C.P. Lau, Eden W.M. Ma, Tommy W. S. Chow
To maximize the network s life, the proposed method, Centralized Naïve Bayes Detector (CNBD) analyzes the end-to-end transmission time collected at the sink.
1 code implementation • / 2013 • Bill C.P. Lau, Eden W.M. Ma, Tommy W. S. Chow
To maximize the network s life, the proposed method, Centralized Naïve Bayes Detector (CNBD) analyzes the end-to-end transmission time collected at the sink.