Wei Ping

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In this work, we propose the marginal structured SVM (MSSVM) for structured prediction with hidden variables. MSSVM properly accounts for the uncertainty of hidden variables, and can significantly outperform the previously proposed latent structured SVM (LSSVM; Yu & Joachims (2009)) and other state-of-art methods, especially when that uncertainty is large.(More)
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many years, multi-instance dimension-ality reduction methods remain untouched. On the other hand, most algorithms in multi-instance framework treat instances in each bag as(More)
—Multi-instance learning, like other machine learning and data mining tasks, requires distance metrics. Although metric learning methods have been studied for many years, metric learners for multi-instance learning remain almost untouched. In this paper, we propose a framework called Multi-Instance MEtric Learning (MIMEL) to learn an appropriate distance(More)
To improve the performance of motion estimation in video coding, we propose a novel search algorithm, which utilizes the global search ability of particle swarm optimization (PSO) and the local search ability of simplex method (SM).According to the center-biased and temporal-spatial correlation features of motion vector and the global randomness of PSO, the(More)
Kernel method is a powerful tool in multi-instance learning. However, many typical kernel methods for multi-instance learning ignore the correspondence information of instances between two bags or co-occurrence information, and result in poor performance. Additionally, most current multi-instance kernels unreasonably assign all instances in each bag an(More)
Published literatures on the prognostic value of hypoxia-inducible factor-1α (HIF-1α) overexpression in esophageal squamous cell carcinoma (ESCC) are conflicting and heterogeneous. We performed a meta-analysis to more precisely evaluate the clinicopathological and prognostic value of HIF-1α in patients with ESCC. Searches were applied to MEDLINE, Pubmed,(More)
In this paper, we present a novel near-duplicate video retrieval system serving one million web videos. To achieve both the effectiveness and efficiency, a visual word based approach is proposed, which quantizes each video frame into a word and represents the whole video as a bag of words. The system can respond to a query in 41ms with 78.4% MAP on average.
Epidermal growth factor receptor (EGFR) mutation status is the best predictor of patient response to treatments with tyrosine kinase inhibitors in primary lung adenocarcinoma and is typically analyzed by DNA-based techniques, such as direct DNA sequencing and allele-specific PCR. Recently, however, two mutation-specific antibodies against delE746-A750 in(More)