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Pattern recognition Job Cost Overview

Typical total cost of Upwork Pattern recognition projects based on completed and fixed-price jobs.

Upwork Pattern recognition Jobs Completed Quarterly

On average, 8 Pattern recognition projects are completed every quarter on Upwork.


Time to Complete Upwork Pattern recognition Jobs

Time needed to complete a Pattern recognition project on Upwork.

Average Pattern recognition Freelancer Feedback Score

Pattern recognition Upwork freelancers typically receive a client rating of 4.77.

Last updated: October 1, 2015

Popular Pattern recognition Searches

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Keshava G.

Keshava G.

Researcher and Statistical Analyst, PhD

United Kingdom - Tests: 4 - Portfolio: 6

Market and technology trends researcher and analyst. Want to help my clients identify cost effective solutions that grow their businesses. Additionally, I bring seven experience years with custom software design, testing and development (C++/JAVA, HTML, SQL, Android etc.) My core technical skills are in identifying data domains, ontologies and developing custom data analysis for the same. Thank you for reading, I look forward to working with you. You will not be disappointed

75% Job Success
$16.67 /hr
734 hours

Mdabul Kashem

Mdabul Kashem

md abul kashem

Bangladesh - Tests: 1


$5.00 /hr
0 hours

Stanley Smith

Stanley Smith

Algorithm Scientist

United States - Tests: 3 - Portfolio: 1

Algorithm Scientist and Physicist applying robust mathematical solutions to both stochastic and deterministic signal data models. Activity includes anomaly "target"​ detection based on agnostic machine learning synthesis, image processing, real-time sensor signal processing, and classification using novel feature extraction methods. Approaches to software prototype design incorporate successive likelihood target detection, multi-hypothesis object tracking and statistical validation of parameter synthesis. Domain expertise includes sensor fusion, artificial intelligence, neural networks, identification algorithms, statistical detection theory, information theory, and adaptive pattern recognition. Application areas include "blackbox" software sub-systems, sensor fusion security and fraud event detection, AI and inference based prediction algorithms, human detection, business model simulations, face recognition, voice recognition, sound artifact recognition, biomedical signature characterization (fluid flow, respiration, apnea, transfer functions, heart rate, snoring); modality prediction, turbulence, second-order gradient analysis, equity forecasting, scheduling (NP and fuzzy logic), PCA, multi-hypothesis inference synthesis, time series analysis; synthesis of adaptive scenarios, detection sub-systems, econometric modeling; physics based modalities, anomalous sensor detection, image processing, accelerometer, radar signal processing, demodulation, telemetry, neutron detection, radioactive isotope identification, sensor fusion, target tracking (Kalman, multi-hypothesis, unscented), automated data mining (Internet spider tool development), marketing statistics, genetic algorithms, neural networks, software development, business venture metrics generation, multi-tier HTML parsing, general data feature extraction. Develops prototype emulation of mathematical concept models to subsystem for developers. Expertise in decision theory, DSP algorithms, peak detectors, anomalous detection (acoustics and RF), demodulation signal processing, audio analysis, telemetry processing, pattern recognition, adaptive signal processing strategies, ballistic missile tracking (Kalman and multi-hypothesis), image processing clutter signal processing, K-means clustering, optical deconvolution, image segmentation, anti-jamming radar, interference cancellation communications signal processing, dye laser optics, explosive detection image processing, micro bolometer FPA image processing, CCD camera image stabilization, gamma/neutron nuclear detection, X-ray backscatter signal processing, multi-sensor overlap projection modeling, DF processing. Proficient in statistical simulation model development and rapid prototyping in high-level languages. Strong proposal writing skills including business, SBIR, and technical white paper development. Technology trade study experience (commercial product development). "The real essence of work is concentrated energy"

97% Job Success
$100.00 /hr
6,590 hours

Mario Chirinos

Mario Chirinos

Electronic engineer & computer scientist

Mexico - Tests: 8 - Portfolio: 20

Electronic Engineer and a Computer Scientist with over ten years of experience working on projects within the following areas: - Computer vision, Machine learning and Pattern recognition. - Image and audio processing. - Mobile robotics. - Embedded Linux. (Raspberry PI, Beagle board, ODROID and others) - Networking and TCP/IP. - Web design using HTML5, PHP, Python, JavaScript, AJAX, CSS and MySQL. - Hardware, electronics, PCB design. - Home automation. - Linux migration. In my portfolio you can see some of my personal projects. The list of client past projects can be seen in the Work History and Feedback section, for confidential reasons I never put clients projects in my portfolio.

89% Job Success
$45.00 /hr
614 hours

Dr mustansar ali G.

Dr mustansar ali G.

PhD in Machine Learning, Uni of Southampton, UK

Pakistan - Tests: 1

I hold MSc & PhD from Uni of Southampton UK and I am Gold Medalist of UET Pak. =====AN INTERNATIONALLY RECOGNISED NAME===== Please Google with my name "Dr Mustansar Ali Ghazanfar" and analyse the impact of my research & development internationally. =====EXPERIENCE===== I joined Brandwatch UK in Spring 2012. I worked as a Java software engineer from 2012 to onwards. I obtained a Ph.D of Computer Science from University of Southampton, UK, with major in Machine Learning and minors in Artificial Intelligence and Data Mining. I have been awarded best student paper award from IADIS European conference on data mining 2011. I am interested in developing efficient algorithms and machine learning techniques to solve real world problems. I am in particularly interested in problems on prediction, recommender systems, data mining, and information retrieval. I had worked as consultant for many start-ups (e.g. on various projects related to prediction.

70% Job Success
$33.00 /hr
109 hours

G Jegan

G Jegan

Sr. Pattern maker , CAD Software Expert

India - Tests: 1 - Portfolio: 9

I am a pattern maker in textile and garments industries . I am working as a cad pattern maker for the past 8 years. I have a lot of pattern making, grading experience in garments field. I can make pattern very quick and efficiently by using CAD software. And also converting all kind of soft copy pattern format by using CAD software. If you sent the Hard copy pattern , then i scanning the hard copy pattern by using digitize board . I Know very well in Tech Pack making for all kind of samples. i will complete the work at same day. very quick and efficiently.

92% Job Success
$17.00 /hr
55 hours

Mohammad A.

Mohammad A.

Pattern Maker & Designer

Pakistan - Portfolio: 5

I have lot of experience of pattern making and designing for leather & woven garment also computerized pattern making and grading . Sample making for customer and Correspondence with customers & suppliers vie e-mail & telephone is included in my job responsibility. I used "Adobe illustrator " for making technical sketch and "Gerber cad system" for computerized pattern making and grading. Check my portfolio

80% Job Success
$12.22 /hr
0 hours

Dmitry Dziuba

Dmitry Dziuba

Robotics and computer vision expert

Ukraine - Tests: 8

I do love challenging tasks that require knowledge of different areas, and also like to apply my experience to real world problems. Most interested in: 1. Robotics. Created from scratch several robotics systems (including smart home, wheel platforms, hexapod, hexacopter - most with on-board video processing and streaming to a central server, some are web-controlled). Advanced microcontroller programming, performance efficient linux ARM programming (including computer vision methods for object recognition and tracking), digital and analog schematics development, PCB soldering, CNC programming 2. Computer vision. A lot of experience with old and modern CV techniques, including SIFT, optical flow, phase correlation. Significant results in stereovision, segmentation (Lab colour space), target tracking (military application) 3. Neural networks. Created new NN type (recurrent dynamic associative memory) and its training method, most important results published in several papers

94% Job Success
$27.78 /hr
0 hours

William Harold Hastings

William Harold Hastings

Expert Problem Solver, Sales, Engineering

United States - Portfolio: 8

HIGHEST LEVEL COMPETENCIES: *The following three assets have proven to set me apart from others in the workplace - particularly as they are not commonly paired with my strong technical background. The combination has afforded me the ability to genuinely understand and find success with a dynamic range of people, product, and distribution markets: 1. Relationships, Business Development, Sales - Formal Education, Work sponsored training, Personality analysis and recognition, Client creation. Profitability and Satisfaction amongst all parties involved. 2. Creative Solutions, Procurement, Problem Solving- Formal Workplace Training, 2 Years dedicated agent, 7 Years continued procurement, 14 Years stock/commodity/futures trading. Win-win attitude and excellent history of rapport and honorable ethical performance. 3. Construction and Engineering - Ultra high end residential, engine testing, healthcare, etc.

$48.00 /hr
0 hours

Javier Bautista

Javier Bautista

Pattern Matching, Neural Computation, Artificial Intelligence

Spain - Tests: 1 - Portfolio: 9

I am an expert in neural computation, artificial neural networks, artificial intelligence. For my Ph.D. I developed a few, very powerful algorithms for top-down, parallel pattern-matching and associative memory. These algorithms are optimal for applications like visual pattern recognition, speech recognition, OCR, automatic language understanding and translation, etc. Since neural computation follows the distributed parallel processing paradigm, these algorithms are extremely efficient on a parallel hardware architecture and support learning in real-time. The user would be able to train the system to recognize any new pattern (image, word, character, sound, etc). My Ph.D. thesis can be google'd under 'Learning Objects, Places and Relations in a Brain Model of Visual Navigation'

78% Job Success
$65.00 /hr
960 hours