Hi! I'm Lukas Tencer, Machine Learning and
Data Science enthusiast. Always curious.

"I have observed that the selection of food is often
influenced by the mood of the person ordering."
– Lieutenant Commander Data.

Portfolio

This is short showcase of projects I was working on. These are mostly research projects, side project and free-time project. Many of the things I was working on in companies need to stay secret, so you dont find them listed here. You can see some details of those on my LinkedIn profile.

Signature Recognition from Accelerometer and Gyroscope Data

Time-Series data, Recognition, Classification, HMM, RNN

Gesture Recognition Systems

Gesture Recognition, Classification, Semi-Supervised Learning, Handwriting Recognition

Sketch-Based Image Retrieval from Documents and Books

Content-Based Image Retrieval, SIFT-Like Features, HOG Features, Soft Bag-of-Words, Invert Index

Tracking of color-encoded objects

Object Tracking, Computer Vision, OpenCV, Mean-Shift

Collection of old School Projects

3D GUI, Polynomial Interpolation, CAGD, Procedural Modeling, Spline and Patch modeling, 2D Editor, 3D Editor, Encryption, Many Games, 3D Modeling

New Semi-Supervised Training Meta-Classifier

Help-Training, Semi-Supervised Training, Active Learning, Classification

Universum Learning in combination wit Fuzzy Classification

Universum learning, Semi-Supervised Training, Classification, Fuzzy Models

Transductive Similarity applied to Inference in Online Fuzzy Models

Online Learning, Transductive Learning, Fuzzy Models, Classification

Image Classification with Deep Convolutional Networks

Convolutional Networks, Image Classification, SGD with Momentum, GPU, Theano, Big Data

Deep Learning library in Python

Neural Networks, Unsupervised Pre-Training, Backpropagation, BFGS, Hessian-free Optimization, Python

Some Work and Freelance Projects
(only those, which I am allowed to show)

Java Server Development, SaaS, Web Development, HTML5, Dojo, IBM Xpages, Lotus Quickr, Unity, Network Trafic Analysis

My Tools and Toys :
Abstract Concepts: Machine Learning, Data Science, Computer Vision, Pattern Recognition, Statistics
Some Models: Semi-Supervised Learning, Neural Networks, SVM, NBC, PCA, LGA, LogReg, LASSO, Regularization, KNN, Fuzzy Models, HMM, SIFT, SURF, BoW, CBIR, MRF, CRF, CART, Random Forests, AdaBoost, Boosting and Bagging, Ensemble Learning, Data Visualization, Desciptive Statistics, Hypothesis Testing, ANOVA, t-Test, p-Value
Technologies: scikit-learn, OpenCV, Theano, Pandas, Matlab, Hadoop, MongoDB, ggplot
Languages: Python, R, Matlab, JAVA, C++ (many others learned on need basis)

Publications

These are my selected research publications. List does not include publications under review (3).

  TITS-FM: Transductive incremental Takagi-Sugeno fuzzy models; L Tencer, M Renakova, M Cheriet; Journal of Applied Soft Computing, Elsevier, 2014
  ARTIST: ART-2A Driven Generation of Fuzzy Rules for Online Handwritten Gesture Recognition; M Renakova, L Tencer, M Cheriet; Document Analysis and Recognition (ICDAR), 2013
  Sketch-Based Retrieval of Document Illustrations and Regions of Interest; L Tencer, M Renakova, M Cheriet; Document Analysis and Recognition (ICDAR), 2013
  A new framework for online sketch-based image retrieval in web environment; L Tencer, M Reznáková, M Cheriet; Information Science, Signal Processing and their Applications (ISSPA), 2012
  Online handwritten gesture recognition based on Takagi-Sugeno fuzzy models ; M Reznáková, L Tencer, M Cheriet; Information Science, Signal Processing and their Applications (ISSPA), 2012

About Me

I am always curious about learning new things. These things are mostly related to Machine Learning, Data Science, Computer Vision and Pattern Recognition. I love to explore data and search for stories which it can tell. I build ML models for fun and knowledge. One of the most satisfying things is to see your model get high precission on really challenging dataset. I enjoy research and building real-world systems. When I am not doing an online class or reading a book I like to play board games and badminton.

  I studied and did research:
PhD. in Machine Learning QC
MsC. in Computer Graphics and Vision UK
Bc. in Computer Science UK
  I worked for quite some time:
Synchromedia in Machine Learning 4Y
imo.im in Machine Learning 3M
IBM in Software Develpment 1Y
Whitestein in Software Develpment 2Y

Contact

Please feel free to contact me any time by email.
I am allways looking forward to do one of the following:

  •    Explore new opportunities in Machine Learning and Data Science
  •    Participate in meetups and gathering on ML, DS or CV topics.
  •    Give talks about my work and spread the word
  •    Take part in and organize hackatons, seminars or workshops
  •    Join interesting Open Source projects and work on novel Ideas