Matches in SemOpenAlex for { <https://semopenalex.org/work/W71317631> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W71317631 abstract "Real-world applications of mobile robotics call for increased autonomy, requiring reliable perception systems. Since manually tuned perception algorithms are difficult to adapt to new operating environments, systems based on supervised learning are necessary for future progress in autonomous navigation. Data labeling is a major concern when supervised learning is applied to the large-scale problems occuring in realistic robotics applications. We believe that algorithms for automatically selecting important data for labeling are necessary, and propose to employ active learning techniques to reduce the amount of labeling required to learn from a data set. In this paper we show that several standard active learning algorithms can be adapted to meet specific constraints characteristic to our domain, such as the need to learn from data with severely unbalanced class priors. We validate the solutions we propose by extensive experimentation on multiple realistic data sets captured with a robotic vehicle. Based on our results for the task of obstacle detection, we conclude that active learning techniques are applicable to our domain, and they can lead to significant reductions in the labeling effort required to use supervised learning in outdoor perception." @default.
- W71317631 created "2016-06-24" @default.
- W71317631 creator A5051386576 @default.
- W71317631 creator A5075246991 @default.
- W71317631 date "2005-06-08" @default.
- W71317631 modified "2023-10-17" @default.
- W71317631 title "Active Learning For Outdoor Obstacle Detection" @default.
- W71317631 cites W1514707997 @default.
- W71317631 cites W1515450954 @default.
- W71317631 cites W1521843029 @default.
- W71317631 cites W1528361845 @default.
- W71317631 cites W1553262910 @default.
- W71317631 cites W1583194113 @default.
- W71317631 cites W1593345689 @default.
- W71317631 cites W2009207944 @default.
- W71317631 cites W2016583329 @default.
- W71317631 cites W2018770010 @default.
- W71317631 cites W2039995447 @default.
- W71317631 cites W2048679005 @default.
- W71317631 cites W2085989833 @default.
- W71317631 cites W2086220218 @default.
- W71317631 cites W2101498552 @default.
- W71317631 cites W2106326515 @default.
- W71317631 cites W2116928076 @default.
- W71317631 cites W2122777361 @default.
- W71317631 cites W2127314673 @default.
- W71317631 cites W2146849452 @default.
- W71317631 cites W2158656966 @default.
- W71317631 cites W2426031434 @default.
- W71317631 cites W2467980467 @default.
- W71317631 cites W2912934387 @default.
- W71317631 cites W2949071206 @default.
- W71317631 cites W3097989877 @default.
- W71317631 doi "https://doi.org/10.15607/rss.2005.i.002" @default.
- W71317631 hasPublicationYear "2005" @default.
- W71317631 type Work @default.
- W71317631 sameAs 71317631 @default.
- W71317631 citedByCount "12" @default.
- W71317631 countsByYear W713176312012 @default.
- W71317631 countsByYear W713176312013 @default.
- W71317631 countsByYear W713176312014 @default.
- W71317631 countsByYear W713176312015 @default.
- W71317631 countsByYear W713176312018 @default.
- W71317631 countsByYear W713176312019 @default.
- W71317631 crossrefType "proceedings-article" @default.
- W71317631 hasAuthorship W71317631A5051386576 @default.
- W71317631 hasAuthorship W71317631A5075246991 @default.
- W71317631 hasBestOaLocation W713176311 @default.
- W71317631 hasConcept C154945302 @default.
- W71317631 hasConcept C166957645 @default.
- W71317631 hasConcept C205649164 @default.
- W71317631 hasConcept C2776650193 @default.
- W71317631 hasConcept C31972630 @default.
- W71317631 hasConcept C41008148 @default.
- W71317631 hasConceptScore W71317631C154945302 @default.
- W71317631 hasConceptScore W71317631C166957645 @default.
- W71317631 hasConceptScore W71317631C205649164 @default.
- W71317631 hasConceptScore W71317631C2776650193 @default.
- W71317631 hasConceptScore W71317631C31972630 @default.
- W71317631 hasConceptScore W71317631C41008148 @default.
- W71317631 hasLocation W713176311 @default.
- W71317631 hasLocation W713176312 @default.
- W71317631 hasOpenAccess W71317631 @default.
- W71317631 hasPrimaryLocation W713176311 @default.
- W71317631 hasRelatedWork W1891287906 @default.
- W71317631 hasRelatedWork W1969923398 @default.
- W71317631 hasRelatedWork W2036807459 @default.
- W71317631 hasRelatedWork W2126807813 @default.
- W71317631 hasRelatedWork W2166024367 @default.
- W71317631 hasRelatedWork W2229312674 @default.
- W71317631 hasRelatedWork W2755342338 @default.
- W71317631 hasRelatedWork W2772917594 @default.
- W71317631 hasRelatedWork W2775347418 @default.
- W71317631 hasRelatedWork W3116076068 @default.
- W71317631 isParatext "false" @default.
- W71317631 isRetracted "false" @default.
- W71317631 magId "71317631" @default.
- W71317631 workType "article" @default.