FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2478582605> ?p ?o ?g. }

• W2478582605 endingPage "1028" @default.
• W2478582605 startingPage "1015" @default.
• W2478582605 abstract "Daily living activity recognition can be exploited to benefit mobile and ubiquitous computing applications. Techniques so far are mature to recognize simple actions. Due to the characteristics of diversity and uncertainty in daily living applications, most existing complex activity recognition approaches have notable limitations. First, graphical model-based approaches still lack sufficient expressive power to model rich temporal relations among activities. Second, it would be rather difficult for graphical model-based approaches to build a unified model for achieving multiple types of tasks. Third, current semantic-based approaches often fail to capture uncertainties. Fourth, formulae in these semantic-based approaches are often manually encoded. Meanwhile, it is impractical to handcraft each formula accurately in daily living scenarios where temporal relations among activities are intricate. To address these issues, we present a probabilistic semantic-based framework that combines Markov logic network with 15 temporal and hierarchical relations to explicitly perform diverse inference tasks of daily living in a unified manner. Advanced pattern mining techniques are introduced to automatically learn the propositional logic rules of intricate relations as well as their weights. Experimental results show that by logical reasoning with the mined temporal dependencies under uncertainty, the proposed model leads to an improved performance, particularly when recognizing complex activities involving the incomplete or incorrect observations of atomic actions. HighlightsA probabilistic semantic-based framework is presented to explicitly perform diverse inference tasks.The framework combines Markov logic networks with 15 relations between activities.Advanced pattern mining techniques are introduced to learn intricate temporal rules.Performances can be improved by logical reasoning with the mined rules under uncertainty.Our approach is robust to the incomplete or incorrect observations of intervals." @default.
• W2478582605 created "2016-08-23" @default.
• W2478582605 creator A5011894823 @default.
• W2478582605 creator A5019056174 @default.
• W2478582605 creator A5038696152 @default.
• W2478582605 creator A5047811387 @default.
• W2478582605 creator A5050109554 @default.
• W2478582605 creator A5063481044 @default.
• W2478582605 date "2016-12-01" @default.
• W2478582605 modified "2023-10-16" @default.
• W2478582605 title "Mining intricate temporal rules for recognizing complex activities of daily living under uncertainty" @default.
• W2478582605 cites W1063623847 @default.
• W2478582605 cites W121499725 @default.
• W2478582605 cites W1489692194 @default.
• W2478582605 cites W1535956448 @default.
• W2478582605 cites W1897824230 @default.
• W2478582605 cites W1959085111 @default.
• W2478582605 cites W1969307352 @default.
• W2478582605 cites W1970817423 @default.
• W2478582605 cites W1974622383 @default.
• W2478582605 cites W1977970897 @default.
• W2478582605 cites W1983705368 @default.
• W2478582605 cites W1993991024 @default.
• W2478582605 cites W1997491508 @default.
• W2478582605 cites W2008010933 @default.
• W2478582605 cites W2008765809 @default.
• W2478582605 cites W2009143764 @default.
• W2478582605 cites W2016066610 @default.
• W2478582605 cites W2017127020 @default.
• W2478582605 cites W2017634428 @default.
• W2478582605 cites W2023302299 @default.
• W2478582605 cites W2023962778 @default.
• W2478582605 cites W2028281835 @default.
• W2478582605 cites W2032409772 @default.
• W2478582605 cites W2038746778 @default.
• W2478582605 cites W2039118032 @default.
• W2478582605 cites W2042701174 @default.
• W2478582605 cites W2050230532 @default.
• W2478582605 cites W2054780155 @default.
• W2478582605 cites W2064232763 @default.
• W2478582605 cites W2067467244 @default.
• W2478582605 cites W2070244236 @default.
• W2478582605 cites W2072563079 @default.
• W2478582605 cites W2073401630 @default.
• W2478582605 cites W2073977380 @default.
• W2478582605 cites W2077309078 @default.
• W2478582605 cites W2081646104 @default.
• W2478582605 cites W2086001523 @default.
• W2478582605 cites W2086693793 @default.
• W2478582605 cites W2093655440 @default.
• W2478582605 cites W2097403258 @default.
• W2478582605 cites W2098106399 @default.
• W2478582605 cites W2099336098 @default.
• W2478582605 cites W2100573769 @default.
• W2478582605 cites W2103388129 @default.
• W2478582605 cites W2109297795 @default.
• W2478582605 cites W2112628161 @default.
• W2478582605 cites W2123277412 @default.
• W2478582605 cites W2123504417 @default.
• W2478582605 cites W2125462511 @default.
• W2478582605 cites W2126511896 @default.
• W2478582605 cites W2130843763 @default.
• W2478582605 cites W2135209143 @default.
• W2478582605 cites W2136431085 @default.
• W2478582605 cites W2139668470 @default.
• W2478582605 cites W2145508099 @default.
• W2478582605 cites W2145784365 @default.
• W2478582605 cites W2146566545 @default.
• W2478582605 cites W2149558335 @default.
• W2478582605 cites W2151535150 @default.
• W2478582605 cites W2161484642 @default.
• W2478582605 cites W2163991508 @default.
• W2478582605 cites W2166712377 @default.
• W2478582605 cites W2167415306 @default.
• W2478582605 cites W2911792760 @default.
• W2478582605 doi "https://doi.org/10.1016/j.patcog.2016.07.024" @default.
• W2478582605 hasPublicationYear "2016" @default.
• W2478582605 type Work @default.
• W2478582605 sameAs 2478582605 @default.
• W2478582605 citedByCount "20" @default.
• W2478582605 countsByYear W24785826052017 @default.
• W2478582605 countsByYear W24785826052018 @default.
• W2478582605 countsByYear W24785826052019 @default.
• W2478582605 countsByYear W24785826052020 @default.
• W2478582605 countsByYear W24785826052021 @default.
• W2478582605 countsByYear W24785826052022 @default.
• W2478582605 countsByYear W24785826052023 @default.
• W2478582605 crossrefType "journal-article" @default.
• W2478582605 hasAuthorship W2478582605A5011894823 @default.
• W2478582605 hasAuthorship W2478582605A5019056174 @default.
• W2478582605 hasAuthorship W2478582605A5038696152 @default.
• W2478582605 hasAuthorship W2478582605A5047811387 @default.
• W2478582605 hasAuthorship W2478582605A5050109554 @default.
• W2478582605 hasAuthorship W2478582605A5063481044 @default.
• W2478582605 hasConcept C119857082 @default.
• W2478582605 hasConcept C124101348 @default.
• W2478582605 hasConcept C154945302 @default.
• W2478582605 hasConcept C41008148 @default.

• next