Search Constraints

Start Over
Filtering by: Committee Member Fern, Alan Remove constraint Committee Member: Fern, Alan Degree Level Doctoral Remove constraint Degree Level: Doctoral Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

Search Results

Action Segmentation with Limited Supervision
Active Learning from Examples, Queries and Explanations
Activity recognition in desktop environments
Adaptation-based programming
Agile Bipedal Locomotion via Hierarchical Control by Incorporating Physical Principles...
Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control
Applying machine learning for prediction, recommendation, and integration
Automatic Explanations of Computation Results with Value Decompositions and Dominating...
Bayesian optimization with empirical constraints
Behavior graphs for data-driven animation of 3d characters
Characterizing and Addressing Dataset Shift with Deep Learning
Computing entropy for Z²-actions
Data-Driven Approaches For Decoding Volitional Movement Intent From Bioelectrical Signals
Deep Convolutional Network on Point Clouds for 3D Scene Understanding
Deep Learning for Human and Biological Languages
Domain-Independent Planning for Markov Decision Processes with Factored State and Acti...
Effective decision-theoretic assistance through relational hierarchical models
Efficient Algorithms for Robust Spatiotemporal Data Analysis
Efficient training and feature induction in sequential supervised learning
Enhancing Search-Based Techniques with Information Control Dependencies
Fine-Grained Object Recognition Under Limited Training Data
From multitarget tracking to event recognition in videos
From shape-based object recognition and discovery to 3D scene interpretation
Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to...
Hierarchical graphical models for activity recognition in videos
Hierarchical structure discovery and transfer in sequential decision problems
Image features and learning algorithms for biological, generic and social object recog...
Improving automated email tagging with implicit feedback
Machine learning for improving the quality of citizen science data
Multiagent learning for locomotion and coordination in tensegrity robotics
Navigation and coordination of autonomous mobile robots with limited resources
Network coding for multi-user wireless networks
Network Coding, Random Matrices, and Their Applications to Communication Systems
Parsing with Recurrent Neural Networks
Part-based and Uncertainty-Aware Few-shot Object Segmentation in Images
Probabilistic models for quality control in environmental sensor networks
Protocol design and optimization for wireless networks
Representationally Robust and Scalable Learning over Relational Databases
Robust and Efficient Classification of Videos in the Wild
Scaling multiagent reinforcement learning
Semantic embodied navigation : developing agents that navigate from language and vision
Statistical Properties and Guarantees for Certain Anomaly Detection Relevant Problems
Structured learning with latent variables : theory and algorithms
The density signature
Theory and Implementation of a Variational Database Management System
Uncertainty in Deep Learning with Implicit Neural Networks
Usable and Scalable Querying of Scientific Datasets
Weakly Supervised Learning for Activity Recognition from Time Series Data