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Invariant Feature Learning for Sensor-based Human Activity Recognition
Wearable sensor-based human activity recognition (HAR) has been a resear...
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Uncertainty Estimation and Sample Selection for Crowd Counting
We present a method for image-based crowd counting, one that can predict...
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Distribution Matching for Crowd Counting
In crowd counting, each training image contains multiple people, where e...
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Beyond ℋ-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence
We reveal the incoherence between the widely-adopted empirical domain ad...
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Domain Generalization with Optimal Transport and Metric Learning
Generalizing knowledge to unseen domains, where data and labels are unav...
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Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Policy gradient methods have shown success in learning control policies ...
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Discriminative Active Learning for Domain Adaptation
Domain Adaptation aiming to learn a transferable feature between differe...
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MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing
Seed scheduling is a prominent factor in determining the yields of hybri...
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Multi-view Subspace Clustering via Partition Fusion
Multi-view clustering is an important approach to analyze multi-view dat...
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Deep Active Learning: Unified and Principled Method for Query and Training
In this paper, we proposed a unified and principled method for both quer...
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Efficient Projection-Free Online Methods with Stochastic Recursive Gradient
This paper focuses on projection-free methods for solving smooth Online ...
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Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning
This paper focuses on projection-free methods for solving smooth Online ...
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Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images
This extended abstract presents a visualization system, which is designe...
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Clustering with Similarity Preserving
Graph-based clustering has shown promising performance in many tasks. A ...
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A Principled Approach for Learning Task Similarity in Multitask Learning
Multitask learning aims at solving a set of related tasks simultaneously...
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When to Preempt? Age of Information Minimization under Link Capacity Constraint
In this paper, we consider a scenario where a source continuously monito...
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To Skip or to Switch? Minimizing Age of Information under Link Capacity Constraint
Consider a scenario where a source continuously monitors an object and s...
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X-ray Scattering Image Classification Using Deep Learning
Visual inspection of x-ray scattering images is a powerful technique for...
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