Search Results for "number recognition"

Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM...

OmegaT is a free and open source multiplatform Computer Assisted Translation tool with fuzzy matching, translation memory, keyword search, glossaries, and translation leveraging into updated projects.

Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.

The Jniz project is stopped. The new Web version is now JnizWeb hosted on Gitlab (under construction): https://gitlab.com/jniz70/jnizweb/ Demo: https://jniz70.gitlab.io/jnizweb/ Jniz is a piece of software designed for musicians as a support tool to the musical composition. It allows you to build and to harmonize several voices according to the rules of classical harmony. Sound/audio-to-Midi converter: real-time conversion of any monophonic sound (voice, instrument etc.) into...

Some of the usual problems for Learning vector quantization (LVQ) based methods are that one cannot optimally guess about the number of prototypes required for initialization for multimodal data structures i.e.these algorithms are very sensitive to initialization of prototypes and one has to pre define the optimal number of prototypes before running the algorithm. If a prototype, for some reasons, is ‘outside’ the cluster which it should represent and if there are points of a different...

...Please visit https://github.com/cluelab/polyrec PolyRec is a unistroke gesture recognizer suitable for fast prototyping of gesture-based applications. The recognizer uses a nearest neighbor approach, and requires a small number of samples for each class. The similarity between two gestures is calculated through a three steps procedure: -firstly, each gesture is approximated to a polyline, in order to extract its main movements; - then, the two polylines are aligned to obtain an equal number of segments from both of them; - lastly, the distance is found by summing the contribution of each pair of segments. ...

Face detection can be regarded as a more general case of face localization. In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information. Face detection is mostly used along with facial recognition feature to extract faces out of an image or video feed and identify the faces against a set of stored images. This feature can be used for tracking prisoners, attendance and signing in to user accounts. ...

A handwritten number recognition system was developed by using image processing and neural network technique. The system was developed in Java. Other applications which make use of image processing and neural network technique will be published too.

JavaANPR is an automatic number plate recognition software, which implements algorithmic and mathematical principles from field of artificial intelligence, machine vision and neural networks.

RDF is a shape recognition program. User loads an image to analyze and several models to recognize for (squares, circles, crosses or more complicated). The analyze provides the number and the position of the found occurences.