406 citations · 3.1k across the 87 of their papers we have counts for
4 papers · 1 filter
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks
Tao Chen, Damian Borth, Trevor Darrell +1
This paper introduces a visual sentiment concept classification method based on deep convolutional neural networks (CNNs). The visual sentiment concepts are adjective noun pairs (A…
Circulant Binary Embedding
Felix X. Yu, Sanjiv Kumar, Yunchao Gong +1
Binary embedding of high-dimensional data requires long codes to preserve the discriminative power of the input space. Traditional binary coding methods often suffer from very high…
Building A Large Concept Bank for Representing Events in Video
Yin Cui, Dong Liu, Jiawei Chen +1
Concept-based video representation has proven to be effective in complex event detection. However, existing methods either manually design concepts or directly adopt concept librar…
On Learning from Label Proportions
Felix X. Yu, Krzysztof Choromanski, Sanjiv Kumar +2
Learning from Label Proportions (LLP) is a learning setting, where the training data is provided in groups, or "bags", and only the proportion of each class in each bag is known. T…