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2 Outcomes, events, and probability - Temple University

https://cis.temple.edu/~latecki/Courses/Math3033-Fall09/DekkingBook07/DekkingBook_c2.pdf

Outcomes, events, and probability The world around us is full of phenomena we perceive as random or unpre-dictable. We aim to model these phenomena as outcomes of some experiment, where you should think of experiment in a very general sense. The outcomes are elements of a sample space Ω, and subsets of Ω are called events.The events will be assigned a probability, a number between 0 and 1 ...

http://www.ce.chalmers.se/staff.PDF - Temple University

https://cis.temple.edu/~lakaemper/courses/cis350_2004/etc/moeller_triangle.pdf

1 Introduction Most collision detection algorithms, such as OBBTree [Gottschalk96], sphere hier-archies [Hubbard96] and BV-trees [Klosowski97], try to minimize the number of primitive-primitive intersections that have to be computed. Still, a fast and reliable method for computing the primitive-primitive intersection is desired. Since render-ing hardware is often targeted for triangles, the ...

Adaptive Procedural Generation in Minecraft - Temple University

https://cis.temple.edu/~wangp/5603-AI/Project/2022S/pattersonblaker/Ward_Patterson_Final_Report.pdf

1 Abstract Minecraft has been the focus of much AI research in past years. Most recently, interest has risen in procedural generation of settlements in Minecraft, largely due to a annual competition established in 2018 called the Generative Design in Minecraft Competition. Inspired by this recent research, we aim to develop a set of algorithms that are capable of building a realistic ...

Regularized Diffusion Process on Bidirectional Context for Object Retrieval

https://cis.temple.edu/~latecki/Papers/BaiPAMI2019.pdf

Abstract—Diffusion process has advanced object retrieval greatly as it can capture the underlying manifold structure. Recent studies have experimentally demonstrated that tensor product diffusion can better reveal the intrinsic relationship between objects than other variants. However, the principle remains unclear, i.e., what kind of manifold structure is captured. In this paper, we propose ...

Lecture 7: Potential Energy Functions - Temple University

https://ronlevygroup.cst.temple.edu/courses/2023_fall/chem5302/slides-notes/chem5302_lecture7.pdf

Terminology Potential Energy – non-kinetic part of the internal energy of a system.

Toward a Logic of Everyday Reasoning - Temple University

https://cis.temple.edu/~pwang/Publication/EverydayReasoning.pdf

Abstract: Logic should return its focus to valid reasoning in real-world situations. Since classical logic only covers valid reasoning in a highly idealized situation, there is a demand for a new logic for everyday reasoning that is based on more realistic assumptions, while still keeps the general, formal, and normative nature of logic. NAL (Non-Axiomatic Logic) is built for this purpose ...

Incremental Local Outlier Detection for Data Streams

https://cis.temple.edu/~latecki/Papers/CIDM07.pdf

Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. This problem is further complicated by the fact that in many cases, outliers have to be detected from data streams that arrive at an enormous pace. In this paper, an incremental LOF (Local Outlier Factor) algorithm, appropriate for detecting outliers in data streams, is proposed ...

How to Benchmark Code Execution Times on Intel IA-32 and IA-64 ...

https://cis.temple.edu/~qzeng/cis3207-spring18/files/ia-32-ia-64-benchmark-code-execution-paper.pdf

How to Benchmark Code Execution Times on Intel® IA-32 and IA-64 Instruction Set Architectures September 2010