Cs 289 Final Project Report: a Software Agent for Recommending Movies

Time Based Interestingness Measure for Movies Final Project Report ( MMCCI CSE 591 )

This paper focuses on a time based Interestingness measure for movies. We define Interestingness as a function of time, variation in shot sequences and changes in sound properties.

A Computational Model for Multi - Instrument Music Transcription CS 229 Final Project Report , Autumn 2013

The aim of our project is to build a model for multi-instrument music transcription. Automatic music transcription is the process of converting an audio wave file into some form of music notes representations. We propose a two-step process for an automatic multiinstrument music transcription system including timbre classification and source separation using probabilistic latent component analysis.

Making Traffic Visualization Movies by Scripting a Graphical User Interface

This report presents a recent extension to the open source traffic simulation “SUMO”, which allows to generate demonstration movies by scripting the user interface from an external application. The scripting was realised by extending an available on-line interface. For obtaining a final movie, further steps are necessary, which are described. Examples for using the extension are given and discu...

CS229 Project Report: Recommending movies and TV shows based on Facebook pro le data

The aim of this project is to learn how to make predictions on what genre of movie a user is likely to be interested in based on their raw Facebook data. We collaborated with other groups to collect a dataset of 10k unique users which was then parsed, stemmed and tokenized. We trained two predictors each using a di erent model, SVM and Naive Bayes. In order to correct for the skew in the traini...

2 D Core - Based Morphing CS 633 - Final Project Report