Titlebook: Structural, Syntactic, and Statistical Pattern Recognition; Joint IAPR Internati Xiao Bai,Edwin R. Hancock,Antonio Robles-Kelly Conference

慷慨不好

Dynamic Voting in Multi-view Learning for Radiomics Applicationserwards. In particular, we propose a random forest based dynamic weighted voting scheme, which personalizes the combination of views for each new patient to classify. The proposed method is validated on several real-world Radiomics problems.

残酷的地方

A Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similaritye to implement, has clear interpretations, and naturally incorporates an outliers removal procedure. Preliminary results show that our proposed algorithm yields higher accuracy than existing scalable algorithms while running fast.

泥沼

UAV First View Landmark Localization via Deep Reinforcement Learningobust landmark localization model, we combine the policy gradient method in deep reinforcement learning algorithm and the supervised learning algorithm together in the training stage. The experimental results show that the LLNet is able to locate the landmark precisely.

pulse-pressure

不适

Learning Deep Embeddings via Margin-Based Discriminate Lossltiple negative examples away at each update. Importantly, it doesn’t need expensive sampling strategies. We demonstrate the validity of our proposed loss compared with the triplet loss as well as other competing loss functions for a variety of tasks on fine-grained image clustering and retrieval.

Laconic

Silent-Ischemia

Visual Tracking via Patch-Based Absorbing Markov Chainto compute patch weights. Finally, the patch weights are incorporated into object feature description and tracking is carried out by adopting structured support vector machine algorithm. Experiments on the benchmark dataset demonstrate the effectiveness of our proposed approach.

PALMY

凌辱

Gum-Disease