Search Results for "spatial" - Page 3

Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts, video has the added (and interesting) property of temporal features in addition to the spatial features present in 2D images. While this additional information provides us more to work with, it also requires different network architectures and, often, adds larger memory and computational demands.We won’t use any optical flow images. This reduces model complexity, training time, and a whole whack load of hyperparameters we don’t have to worry about. ...

The input pipeline must be prepared by the users. This code is aimed to provide the implementation for Coupled 3D Convolutional Neural Networks for audio-visual matching. Lip-reading can be a specific application for this work. Audio-visual recognition (AVR) has been considered as a solution for speech recognition tasks when the audio is corrupted, as well as a visual recognition method used for speaker verification in multi-speaker scenarios. The approach of AVR systems is to leverage the...

Cis-regulatory elements (CREs) and cis-regulatory modules (CRMs) play an important role in temporal and spatial regulation of gene expression, which is a common process in eukaryotic organisms. We developed two programs that serve as exploratory tools in the analysis of CRM-mediated control of gene expression: “Exploration of Distinctive CREs and CRMs” (EDCC) and “CRM Network Generator” (CNG). EDCC correlates the presence and positions of CREs/CRMs with gene expression data and identifies candidate regulatory elements for further functional analysis. ...

PAGC is a command line and web service C library for performing postal address geocoding. A postal address geocoder takes a sufficiently detailed postal addresses and produces a digital map that displays the spatial location of those addresses.

This project provides a Fortran90 library and a python module for singular spectrum analyses such as PCA/EOF or MSSA. It is intended for people interested, for example, in analysing climate or financial variability.

Spatial Grammar Interpreter Applet: A 3D spatial grammar interpreter that provides for the interactive, visual development and application of three-dimensional parametric grammar rules.

...The SnowMicroPen® (SMP) is developed by the WSL Institute for Snow and Avalanche Research, Davos. The SMP is the first high-resolution snow penetrometer. It is capable of measuring the bonding force between snow grains, with both high spatial resolution and high speed. The SMP can be used in different application areas as snow profiling (avalanche forecasting, snow stratigraphy, remote sensing ground truth), ski track characterization (ski racing) or snow runway characterization (stability testing).

A new algorithm for extracting roof tops was developed. Using the assumption that roof tops are planar in construction, a new approach was developed using volume of point clouds to determine whether a cluster contains planar points. This approach yields very promising results and with attention applied to its weaknesses, should provide another algorithm which can rival currently available roof top detection methods.

Mapnik is an OpenSource C++/Python toolkit for developing GIS (Geographic Information Systems) applications. At the core is a C++ shared library providing algorithms/patterns for spatial data access and visualization.

Geo-Spatial Data Viewer (GSDView) is a lightweight viewer for geo-spatial data and products. It is written in python and Qt4 and uses the GDAL library. GSDView is modular and has a simple plug-in architecture.

Simple python code that produces color-coded quality plots based on fastq format read quality scores. Scores are averaged over binned read tile coordinates. Useful for spotting spatial quality patterns.

PyExPsiN is a Python crossplatform (Linux/Windows) module for made easy writing psychological experiments. Right now includes functions for DMTS (Delayed Matching to Sample), N-Back, Spatial N-Back, "Grammatical", Mixed Dots, Stroop, and more.

Liegkat-Archiv delivers ALK converters for spatial data formats (EDBS, BGRUND, SQD, DFK, HK) and coordinate systems used in German cadastral agencies before ALKIS into KML and JML. It delivers Python packages and XSL files.

NOTE: We have moved the project to https://bitbucket.org/makokal/openprm/overview, all the code that is still in sf is not maintained anymore. please use the new code at the location given

The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu). NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.

Software to translate the geographical format SOSI into KML or other spatial data formats. SOSI is the Norwegian National format for exchange of spatial data.

STOCHSIM is a stochastic simulator for biochemical reactions. The particles are represented as individual software objects which react according to probabilities derived from concentrations and rate constants. Simple spatial structures can be built.

Space Time Analysis of Regional Systems: Combines a suite of geocomputational and dynamic visualization modules for the exploratory analysis of data measured for spatial and temporal units.

The Blind Audio Tactile Mapping System (BATS) attempts to address the lack of spatial information available for visually impaired students.

Spatial Disruption is a Web based Strategy Warfare game. This project houses both Version 1(Perl, C++, and Flat text Files), and Version 2(PHP, Python, C++, and Various SQL databases). Our game already features a 2-D map, built-in alliances, and more!

Gigabyte-scale persistent object Store in C++. Able to intern and persist arbitrary ELF loadble objects. Convenient class library (Lists, Strings, Dicts, Namespaces, etc.) optimised for spatial locality of reference. Virtual machine toolkit.

pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. ...