Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Zhongfei Mark Zhang"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:6169-6183
In this paper, we propose a novel deep Efficient Relational Sentence Ordering Network (referred to as ERSON) by leveraging pre-trained language model in both encoder and decoder architectures to strengthen the coherence modeling of the entire model.
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)
This paper develops a large scale surveillance video data unsupervised segmentation technique regarding whether there is a presence of independent motion. We propose a holistic, in-compression approach to efficient video segmentation. By efficient, w
Externí odkaz:
https://doaj.org/article/d31564f5a37247cb8fdd96e3e967ce3c
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 29:1888-1901
The query logs from an on-line map query system provide rich cues to understand the behaviors of human crowds. With the growing ability of collecting large scale query logs, the query suggestion has been a topic of recent interest. In general, query
Publikováno v:
ICDM
In this paper, we study the multi-task learning problem with a new perspective of considering the link structure of data and task relationship modeling simultaneously. In particular, we first introduce the Matrix Gaussian (MG) distribution and Matrix
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31
For many supervised learning problems, limited training samples and incomplete labels are two difficult challenges, which usually lead to degenerated performance on label prediction. To improve the generalization performance, in this paper, we propos
Publikováno v:
KDD
In this paper, we investigate the use of recurrent neural networks (RNNs) in the context of search-based online advertising. We use RNNs to map both queries and ads to real valued vectors, with which the relevance of a given (query, ad) pair can be e
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 25(2)
In multimedia information retrieval, most classic approaches tend to represent different modalities of media in the same feature space. With the click data collected from the users’ searching behavior, existing approaches take either one-to-one pai
Autor:
Zhongfei (Mark) Zhang, Ruofei Zhang
Publikováno v:
Image and Vision Computing. 24:211-223
This paper is on user relevance for image retrieval. We take this problem as a standard two-class pattern classification problem aiming at refining the retrieval precision by learning through the user relevance feedback data. However, we have investi
Autor:
Ruofei Zhang, Zhongfei Mark Zhang
Publikováno v:
Multimedia Systems. 10:529-543
This paper focuses on developing a Fast And Semantics-Tailored (FAST) image retrieval methodology. Specifically, the contributions of FAST methodology to the CBIR literature include: (1) development of a new indexing method based on fuzzy logic to in