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Related lectures (32)
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Anesthesia Process Software Development
Focuses on developing software for real-time anesthesia sheet generation with voice input.
Lindblad equation
Covers the interpretation of the Lindblad equation and its unitary part in quantum gases.
Problem Solving Strategies: Math Word Problems
Discusses problem-solving strategies for math word problems and engaging activity design.
Lindblad equation
Covers the derivation of the Lindblad equation and the evolution of quantum gases.
Internship Report: Hangqian Li
Covers an internship report at Tencent Al lab, focusing on 3D avatar reconstruction and neural rendering techniques.
Automatic Understanding of the Visual World
Explores machine visual perception, weakly-supervised learning, and future research in intelligent systems.
Tagging (a.k.a. Sequence labeling)
Covers lemmatization, PoS tagging, sequence labeling, and probabilistic PoS tagging using HMMs for performance evaluation.
Analytical Design: Graphic Communication
Explores the use of aesthetics, visual metaphors, readability, and data integrity in creating effective visual representations.
Interactive Lecture HMM: Definitions and Topologies
Explores Hidden Markov Models definitions, topologies, learning process, and current research trends.
Mesh Filters: Structures and Parameters
Explores the construction and parameters of mesh filters in signal processing.
Annual Meeting Awards
Announces the winners of annual meeting awards, recognizing outstanding poster and video works, and pitches from the Next Tech program.
Document Segmentation: dhSegment
Explores the development and improvements of dhSegment, an open-source document segmentation package using PyTorch.
Building Usenet: Specifications and Message Format
Explores the history, specifications, and limitations of Usenet, emphasizing message format and broadcast efficiency.
Thermal Comfort Monitoring: Non-Intrusive Solutions
Presents a framework for non-intrusive thermal comfort monitoring using computer vision and machine learning techniques.
Understanding Proprioception: Neural Network Models
Explores how neural networks can help understand proprioception and muscle contraction.
IC School Dean Handover Ceremony
Covers the IC School Dean Handover Ceremony and the growth of the IC School over the years, concluding with a fun quiz question.
Named Entity Recognition: Applications and Techniques
Explores Named Entity Recognition, its uses, techniques, and applications in information extraction.
Deep Learning: Graphs and Transformers Overview
Covers deep learning concepts, focusing on graphs, transformers, and their applications in multimodal data processing.
Sudoku Solver: OCR Techniques
Explores OCR techniques for solving Sudoku puzzles using pixel analysis and threshold settings.
Virtual Humans: Core Believability Factors
Explores the core factors contributing to the believability of virtual humans through animation, interaction, and hidden operators in real-time constraints.
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