Introduction to Database Systems - UBC Computer Science

A few Administrative Details Online Discussion of Course Material: We will use the Piazza system (www.piazza.com) for all online discussion of course material. Piazza is a next generation Question & Answer system specifically designed to help you get answers to your questions fast.

  Database, Introduction, System, Introduction to database systems

The Viola/Jones Face Detector

The Viola/Jones Face Detector (2001) (Most slides from Paul Viola) A widely used method for real-time object detection. Training is slow, but detection is very fast.

  Viola

Architectural Blueprints The 4+1 View Model of Software ...

2 •the development view, which describes the static organization of the software in its development environment. The description of an architecture—the decisions made—can be organized around these four views, and then illustrated by a few selected use cases, or scenarios which become a fifth view. The architecture is in

  Architecture, Software

Revelation and Bible Prophecy

such a prophecy is literally an event looking forward to the physical Second Coming of Christ, rather than simply a symbolic or vague historical reference that may be clouded in apocalyptic language. The Bible is rich with repeated examples, analogies, and types (e.g., Joseph as a type or pattern of Christ). A Biblical truth might be played out

  Christ, Second, Coming, Of christ, Second coming of christ

Brain Chemistry

Serotonin Affects appetite, sleep, learning Elevates mood ... Role in addiction Affects motivation, arousal, decision making Improves focus and attention Sexual gratification Increases sociability. ... Alcohol Valium. Oxytocin Actually a hormone

  Roles, Alcohols, Brain, Serotonin

Machine Learning - University of British Columbia

1 Introduction 1.1 Machine learning: what and why? We are drowning in information and starving for knowledge. — John Naisbitt. We are entering the era of big data.For example, there are about 1 trillion web pages1; one hour of video is uploaded to YouTube every second, amounting to 10 years of content every

  Introduction, Machine, Learning, Machine learning

Gaussian Processes in Machine Learning

A Gaussian Process is a collection of random variables, any finite number of which have (consistent) joint Gaussian distributions. A Gaussian process is fully specified by its mean function m(x) and covariance function k(x,x0). This is a …

  Process, Gaussian, Gaussian process

Least Squares Optimization with L1-Norm Regularization

are both independently and identically distributed. Thus, ... (iv) in terms of optimization, it gives a compromise between solving the system and having a small w. 1.4 L1 Regularization While L2 regularization is an effective means of achiev-ing numerical stability and …

  With, Norm, Distributed, Optimization, Regularization, Optimization with l1 norm regularization

End Times Timeline - University of British Columbia

— 1 Corinthians 3:12–15 For we must all appear before the judgment seat of Christ, so that each one may be recompensed for his deeds in the body (lit.: the things through the body ), according to what he has done, whether good or bad. — 2 Corinthians 5:10 Marriage of the Lamb

  Corinthians

FLUID SIMULATION - Computer Science at UBC

FLUID SIMULATION SIGGRAPH 2007 Course Notes Robert Bridson1 University of British Columbia Computer Science Department 201-2366 Main Mall Vancouver, V6T 1Z4, Canada

  Notes, Computer, Fluid, Course, Simulation, Course notes, Fluid simulation

Siamese Neural Networks for One-shot Image Recognition

Proceedings of the 32nd International Conference on Machine Learning, Lille, France, 2015. JMLR: W&CP volume 37. Copy-right 2015 by the author(s). Figure 1. Example of a 20-way one-shot classification task using the Omniglot dataset. The lone test image is shown above the grid of 20 images representing the possible unseen classes that we can

  Conference

Rich Feature Hierarchies for Accurate Object Detection and ...

Region proposals. A variety of recent papers offer meth-ods for generating category-independent region proposals. Examples include: objectness [1], selective search [32], category-independent object proposals [11], constrained parametric min-cuts (CPMC) [5], multi-scale combinatorial grouping [3], and Cires¸an et al. [6], who detect mitotic cells

  Paper

Trusted Computer System Evaluation Criteria ['Orange Book']

Oct 08, 1998 · DoD 5200.28-STD Supersedes CSC-STD-00l-83, dtd l5 Aug 83 Library No. S225,7ll. DEPARTMENT OF DEFENSE STANDARD. DEPARTMENT OF. DEFENSE. TRUSTED COMPUTER. SYSTEM EVALUATION

  Book, Orange, Orange book

EAST: An Efficient and Accurate Scene Text Detector

EAST: An Efficient and Accurate Scene Text Detector Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, and Jiajun Liang Megvii Technology Inc., Beijing, China

WEBSITE QUALITY ASSESSMENT CRITERIA

WEBSITE QUALITY ASSESSMENT CRITERIA (Research paper: IQ Concepts, Tools, Metrics, Measures and Methodologies) Vassilis S. Moustakis1,2, Charalambos Litos1, Andreas Dalivigas1, and Loukas Tsironis1 1 Department of Production and Management Engineering, Technical University of Crete, Chania 73100, Greece 2 Institute of Computer Science, Foundation for …

Fast R-CNN

Fast R-CNN Ross Girshick Microsoft Research rbg@microsoft.com Abstract This paper proposes a Fast Region-based Convolutional Network method (Fast R-CNN) for object detection. Fast R-CNN builds on previous work to efficiently classify ob-